青藏高原與極地氣象研究進(jìn)展
Progress in the Tibetan Plateau and Polar Meteorology Research
Understanding the variability of surface air temperature (SAT) over the Tibetan Plateau (TP) and its precursory signals is of great benefit to climate change adaptation and socioeconomic development. This study explores the precursory signals of summer SATs over the TP in oceanic and land boundary conditions. The results show that the summer eastern TP SAT is significantly correlated with three precursors in April: the high-latitude North Atlantic sea surface temperature (SST), the northern Indian Ocean SST, and the Indian soil moisture (SM). The April SST anomalies (SSTAs) in the high-latitude North Atlantic can exert a cross-season impact on the summer SAT over the TP through two processes. The SSTAs in the high-latitude North Atlantic maintain from April to summer and modulate atmospheric circulation over the eastern TP through exciting a downstream wave train during summer, and finally modulate the summer SAT over the eastern TP. In addition to the above process, the April SSTAs in the high-latitude North Atlantic may remotely regulate simultaneous SM in the Indian subcontinent through stimulating a downstream wave train pattern. Through a persistent SM-precipitation interaction, the April Indian SM anomaly can affect the local precipitation and associated condensation heating anomalies during the ensuing summer, which forces an anomalous cyclone-anticyclone pattern around the TP and accordingly affects the summer SAT over the eastern TP. Additionally, the SSTAs in the northern Indian Ocean can persist from April to summer and adjust the intensity and location of the western North Pacific subtropical high through the Kelvin-wave-induced Ekman divergence during summer, eventually affecting the summer eastern TP SAT. The three precursory signals, which synergistically contribute to the variability of the summer eastern TP SAT, can be applied in predicting the summer SAT over the eastern TP.(Wang Hui, Liu Ge, Wang Sai, He Kejun)
Ground-based zenith scattered light differential optical absorption spectroscopy (DOAS) measurements were performed in summer and autumn (27 May to 30 November) 2020 at Golmud (94°54′ E, 36°25′ N;2807.6 m altitude) to investigate the abundances and temporal variations of ozone (O3) and its depleting substances over the northern Tibetan Plateau (TP). The differential slant column densities (dSCDs) of O3,nitrogen dioxide (NO2), bromine monoxide (BrO), and chlorine dioxide (OClO) were simultaneously retrieved from scattered solar spectra in the zenith direction during the twilight period. The O3vertical column densities(VCDs) were derived by applying the Langley plot method, for which we investigated the sensitivities to the chosen wavelength, the a-priori O3profile and the aerosol extinction profile used in O3air mass factor (AMF)simulation as well as the selected solar zenith angle (SZA) range. The mean O3VCDs from June to November 2020 are 7.21×1018molecules m?2and 7.18×1018molecules m?2at sunrise and sunset, respectively. The derived monthly variations of the O3VCDs, ranging from a minimum of 6.9×1018molecules m?2in October to 7.5×1018molecules m?2in November, well matched the OMI satellite product, with a correlation coefficient R = 0.98.The NO2VCDs at SZA = 90°, calculated by a modified Langley plot method, were systematically larger at sunset than at sunrise as expected with a pm/am ratio of about 1.56. The maximum of the monthly NO2VCDs,averaged between sunrise and sunset, was 3.40×1015molecules m?2in July. The overall trends of the NO2VCDs were gradually decreasing with the time and similarly observed by the ground-based zenith DOAS and OMI. The average level of the BrO dSCD 90°?80° (i.e., dSCD between 90° and 80° SZA) was 2.06×1014molecules m?2during the period of June–November 2020. The monthly BrO dSCD 90°–80° presented peaks in August and July for sunrise and sunset, respectively, and slowly increased after October. During the whole campaign period, the OClO abundance was lower than the detection limit of the instrument. This was to be expected because during that season the stratospheric temperatures were above the formation temperature of polar stratospheric clouds. Nevertheless, this finding is still of importance, because it indicates that the OClO analysis works well and is ready to be used during periods when enhanced OClO abundances can be expected. As a whole, ground-based zenith DOAS observations can serve as an effective way to measure the columns of O3and its depleting substances over the TP. The aforementioned results are helpful in investigating stratospheric O3chemistry over the third pole of the world. (Cheng Siyang, Ma Jianzhong, Zheng Xiangdong)
To identify the atmospheric controls of the summertime glacier surface energy balance in the Himalayas,in situ meteorological data collected at 6,523 m above sea level during May–July 2005 were obtained and analyzed. Our results showed that net shortwave radiation (103 W m?2) and turbulent sensible heat flux(12 W m?2) acted as energy sources, and net longwave radiation (?62 W m?2) and turbulent latent heat flux(?20 W m?2) represented heat sinks. Cloud cover controlled the summer surface energy balance. During the active period of the South Asian summer monsoon, the frequent cloud coverage increased the incoming longwave radiation more than it decreased the incident solar radiation. Intensification (weakening) of the South Asian summer monsoon strengthened (suppressed) surface melting. The melt energy measured during the nonmonsoon period was small due to the energy consumption associated with glacier volume warming,energy loss from sublimation, and large heat loss through net longwave radiation due to the low amount of incoming longwave radiation caused by the low cloudiness. The comparison of glacier surface energy balances on the Tibetan Plateau shows that on continental glaciers, net radiation is lower and accounts for a smaller contribution to energy sources, and the dominant energy sinks are sublimation and evaporation, rather than melting, which is the primary energy sink for maritime/subcontinental glaciers. This implies an important spatial variability in glacial sensitivity to different climatic conditions on the Tibetan Plateau. (Liu Weigang,Zhang Dongqi, Ding Minghu)
We examine the links between the thermal condition of the troposphere over the Tibetan Plateau with the atmospheric circulation and climate over the Eurasian continent. The temperature of the troposphere over the Tibetan Plateau is higher than the temperature in other regions at the same latitude and is consistent with the temperature of the Eurasian troposphere on an interannual timescale. The higher temperature of the troposphere over the Tibetan Plateau leads to anomalous south–north temperature gradients from mid-latitudes over the Eurasian continent to its two flanks, accompanied by anomalous easterly and westerly winds in the upper troposphere in the subtropics and at higher latitudes. Anomalous anticyclonic circulations and subsidence motions appear between the anomalous easterly and westerly winds and contribute to the high surface air temperature over West Asia, Central Asia and East Asia via anomalous vertical temperature advection in the troposphere and change in the amount of solar radiation incident on the surface. The enhanced East Asian summer monsoon associated with the high temperature of the troposphere over the Tibetan Plateau also partly contributes to the high surface air temperature over East Asia via horizontal temperature advection. The westerly wind anomalies in the north of the mid-latitudes over the Eurasian continent indicate the enhancement and northward shift of the mid-latitude westerly jet. This is related to anomalous upward motion and higher precipitation in Northeast China and North China. Sensitivity experiments based on an atmospheric model verify the impact of anomalous tropospheric heating over the Tibetan Plateau in summer on the atmospheric circulation over the Eurasian continent. (Nan Sulan, Zhao Ping, Chen Junming, Liu Ge)
2021年4月,于西藏自治區(qū)墨脫縣新建方艙式風(fēng)廓線雷達(dá)(型號(hào)CFL-03,北京無(wú)線電測(cè)量研究所)觀測(cè)站,位于墨脫縣氣象局觀測(cè)場(chǎng)旁,海拔1305 m,地理環(huán)境為郊外山腰,可實(shí)現(xiàn)0~6 km風(fēng)廓線的探測(cè)。2021年7月,于云南貢山新建微波輻射計(jì)(型號(hào)MP-3000A,Radiometer)觀測(cè)站,位于貢山縣氣象局樓頂,海拔1590 m,地理環(huán)境為郊外山腰,測(cè)量從地面至天空10 km高度垂直剖面上的溫度、濕度廓線,液態(tài)水含量,云參數(shù)及有無(wú)降水等大氣信息。2021年8月,于西藏自治區(qū)嘉黎縣新建邊界層梯度通量觀測(cè)系統(tǒng),位于嘉黎縣氣象局觀測(cè)場(chǎng)旁,海拔4489 m,地理環(huán)境為河谷,觀測(cè)要素包含5層空氣溫濕、5層土壤溫濕、5層風(fēng)速、風(fēng)向、光合有效輻射、凈輻射、土壤熱通量、地表溫度、雨量、雪深、CO2/H2O汽通量。
根據(jù)中國(guó)氣象科學(xué)研究和西藏自治區(qū)雙邊協(xié)議,聯(lián)合推進(jìn)青藏高原野外科學(xué)試驗(yàn)。雙方在拉薩站開(kāi)展了多軸差分吸收光譜(MAX-DOAS)和大氣水汽—?dú)馊苣z激光雷達(dá)地基主被動(dòng)遙感觀測(cè),提升了提升青藏高原地區(qū)大氣環(huán)境多組分垂直廓線觀測(cè)能力,為開(kāi)展青藏高原氣候變化研究、青藏高原立體生態(tài)環(huán)境研究、青藏高原臭氧低谷研究等重大前沿科學(xué)問(wèn)題奠定了數(shù)據(jù)基礎(chǔ)。首次在青藏高原北部(西寧—達(dá)日—玉樹(shù)線)和南部(拉薩—林芝—波密線)同時(shí)協(xié)作開(kāi)展基于車(chē)載平臺(tái)的青藏高原大氣環(huán)境多組分三維結(jié)構(gòu)動(dòng)態(tài)遙感探測(cè)試驗(yàn),有望對(duì)三江源地區(qū)和藏東南水汽通道上的大氣環(huán)境有新認(rèn)識(shí)。
2021年進(jìn)行了一次青藏高原水環(huán)境科學(xué)考察,在青海曲麻萊、西藏錯(cuò)那的凍土安裝了凍土溫度、水熱通量和氣象觀測(cè)儀器;在西藏浪卡子槍勇冰川和申扎甲崗山冰川安裝了水位計(jì)和自動(dòng)氣象站;在在青海玉樹(shù)隆寶濕地安裝了水位計(jì)并進(jìn)行觀測(cè)。根據(jù)西風(fēng)季風(fēng)作用范圍,選取了3個(gè)位于不同氣候區(qū)的典型站點(diǎn)(錯(cuò)那、若爾蓋、普蘭)進(jìn)行降水采樣,將通過(guò)分析降水樣品的同位素來(lái)確定西風(fēng)—季風(fēng)作用時(shí)間,并在甘肅省瑪曲縣進(jìn)行水汽穩(wěn)定氫氧同位素在線觀測(cè)。參加了“藏東南大峽谷河谷關(guān)鍵區(qū)野外觀測(cè)現(xiàn)場(chǎng)考察”和“高原氣候資料稀缺地區(qū)氣候變化及其影響應(yīng)對(duì)”的野外考察,對(duì)沿途冰凍圈及其變化情況進(jìn)行了文獻(xiàn)查閱和現(xiàn)場(chǎng)考察。
中國(guó)氣象科學(xué)研究院與國(guó)家氣候中心基于青藏高原相關(guān)科研成果,篩選、構(gòu)建出了在我國(guó)氣候診斷、預(yù)測(cè)中具有實(shí)際業(yè)務(wù)應(yīng)用意義的系列指標(biāo)和預(yù)測(cè)模型,共同建立了“青藏高原區(qū)域氣候監(jiān)測(cè)診斷預(yù)測(cè)系統(tǒng)(TPMAPS)” ,為國(guó)家氣候中心汛期氣候趨勢(shì)預(yù)測(cè)業(yè)務(wù)提供了參考,發(fā)揮了積極作用。2021年11月9日,經(jīng)專家論證,TPMAPS進(jìn)入準(zhǔn)業(yè)務(wù)運(yùn)行。
The intraseasonal atmospheric responses to winter sea ice decline over the Barents-Kara Seas are examined by dividing rapid sea ice decline events into two categories, based on the direction (upward vs.downward) of the anomalous surface turbulent heat flux (ASTHF) after the sea ice loss. The upward ASTHF events, which could potentially have a large impact on the overlying atmosphere, are characterized by anomalously negative total column water and surface air temperature minus skin temperature, and anomalously positive surface wind speed following the sea ice loss. The downward ASTHF events show opposite features.Both types of events are linked to the Madden-Julian oscillation and subsequent circulation anomalies. This result indicates that on the intraseasonal time scale, not all sea ice decline events influence the atmosphere. (Jiang Zhina, Steven B. Feldstein, Sukyoung Lee)
Precipitation with different phases can exert different influences on the Antarctic mass balance. Using the observational rain and snow days from the Great Wall Station, ERA-interim reanalysis, and other data,this study investigates the mechanisms governing the year-to-year variability of precipitation phase (i.e.,rainfall and snowfall) over the northern Antarctic Peninsula (AP) during austral summer (December, January,and February; abbreviated as DJF) for the period 1985–2016. The results reveal that the rainfall and snowfall anomalies are controlled mainly by the change in the proportion of precipitation occurring as rain and snow,and the latter is strongly influenced by the change in air temperature. Through regulating the air temperature,different atmospheric circulation anomalies affect the variability of the rainfall and snowfall over the northern AP during summer. Specifically, a circulation pattern with an anomalous anticyclone over the Malvinas Islands and an anomalous cyclone over the Amundsen-Bellingshausen Seas (ABS) can increase summer rainfall,whereas an anomalous cyclone over the Weddell Sea facilitates more snowfall. The summertime atmospheric circulation anomalies, which modulate the variability of rainfall over the northern AP, are primarily caused by an atmospheric teleconnection pattern persisting from austral spring (September–November, SON) to summer. Such a persistent teleconnection pattern can be attributed to the long-time maintenance of sea surface temperature anomalies due to air-sea interaction processes. (Wang Sai, Liu Ge, Ding Minghu, Chen Wen,Zhang Wenqian, Lyu Junmei)
The large ensembles of the IPSL-CM6A-LR model output for the historical forcing experiment were employed to investigate the role of internal variability in the formation of the recent “warm Arctic-cold Eurasia” trend pattern in winter surface air temperature (SAT). The ensemble-mean SAT shows a positive trend over Arctic during 1990–2014, indicating a positive contribution of anthropogenic forcing to the warming Arctic. Over the region of central Eurasia, the ensemble-mean SAT trend is opposite to the observed trend.The winter SAT trends display remarkable inter-member diversity over the Barents-Kara Seas (BKS) region and central Eurasia, suggesting an important role played by internal variability. In addition to anthropogenic forcing, the results suggest that the barotropic anticyclone over northern Eurasia arising from internal variability can also contribute positively to the warming anomalies over the BKS region. On the other hand,through a fingerprint pattern matching method, it is found that the observed cooling trend over central Eurasia tends to be predominantly due to the internal variability. Finally, the results estimate that the internal variability can contribute to about 50%?60% of the observed warming trend over the BKS region. (Wang Sai, Chen Wen)
Nine density-dependent empirical thermal conductivity relationships for firn were compared against data from three automatic weather stations at climatically different sites in East Antarctica (Dome A, Eagle, and LGB69). The empirical relationships were validated using a vertical, 1D thermal diffusion model and a phasechange-based firn diffusivity estimation method. The best relationships for the abovementioned sites were identified by comparing the modeled and observed firn temperature at a depth of 1 and 3 m, and from the mean heat conductivities over two depth intervals (1–3 and 3–10 m). Among the nine relationships, that proposed by Calonne et al. (2011) appeared to show the best performance. The density- and temperature-dependent relationship given in Calonne et al. (2019) does not show clear superiority over other density-dependent relationships. This study provides a useful reference for firn thermal conductivity parameterizations in land modeling or snow–air interaction studies on the Antarctica ice sheet. (Ding Minghu)
Under the effect of global warming, more precipitation will shift to rainfall in cryospheric regions.Considering the influence of the precipitation type on surface energy and mass cycles, it is important to determine the specific precipitation features and to classify the precipitation type in key areas correctly. We analyzed the monthly distribution, variations in annual days of each precipitation type, and trends based on daily precipitation and air temperature observations from six tripolar stations. The results indicated that snow dominated the precipitation type at Zhongshan Station (69.4°S, 76.4°E) throughout the year, while the Greatwall Station (62.2°S, 59.0°W) exhibited a relatively diverse precipitation type distribution and significant seasonal cycles. Compared to the Greatwall Station, every precipitation type was less frequently encountered at the Barrow (71.3°N, 156.8°W), Coral Harbour (64.2°N, 83.4°W), Linzhi (29.6°N, 94.5°E), and Maqu stations(34°N, 102.1°E), in which all the sites demonstrated classical reverse seasonal variation. A consistent trend across the years was found regarding the trends of the different precipitation types, except at the Greatwall and Coral Harbour stations. Due to snow/rain conditions partly converting into sleet conditions, which may be related to air temperature changes and synoptic atmospheric activities, inconsistent increasing trends of the sleet days were observed compared to the snow/rain days. Furthermore, a hyperbolic parameterized model was also fitted to determine the air temperature threshold of precipitation type transitions in this paper. According to the threshold comparison results, a warm bias in the temperature threshold was found at the warm stations.We also proposed that high relative humidity and low freezing levels were the likely reasons for the ERA5 reanalysis datasets. Finally, this paper’s fitted parameterized model was proven to perform better than the ERA5 reanalysis datasets through validation. This preliminary research provides observational evidence and possible interpretation of the mechanism of precipitation type changes in tripolar areas. (Yang Diyi, Ding Minghu)
Temperature inversion plays an important role in various physical processes by affecting the atmospheric stability, regulating the development of clouds and fog, and controlling the transport of heat and moisture fluxes. In the past few decades, previous studies have analyzed the spatiotemporal variability of Arctic inversions, but few studies have investigated changes in temperature inversions. In this study, the changes in the depth of Arctic inversions in the mid-21st century are projected based on a 30-member ensemble from the Community Earth System Model Large Ensemble (CESM-LE) project. The ERA-Interim, JRA-55, and NCEP-NCAR reanalyses were employed to verify the model results. The CESM-LE can adequately reproduce the spatial distribution and trends of present-day inversion depth in the Arctic, and the simulation is better in winter. The mean inversion depth in the CESM-LE is slightly underestimated, and the discrepancy is less than 11 hPa within a reasonable range. The model results show that during the mid-21st century, the inversion depth will strongly decrease in autumn and slightly decrease in winter. The shallowing of inversion is most obvious over the Arctic Ocean, and the maximum decrease is over 65 hPa in the Pacific sector in autumn. In contrast,the largest decrease in the inversion depth, which is more than 45 hPa, occurs over the Barents Sea in winter.Moreover, the area where the inversion shallows is consistent with the area where the sea ice is retreating,indicating that the inversion depth over the Arctic Ocean in autumn and winter is likely regulated by the sea ice extent through modulating surface heat fluxes. (Zhang Lin, Ding Minghu, Lyu Junmei)
Across the Arctic Ocean, the semi-permanent sea-ice layer insulates the atmosphere from the Arctic Ocean, thereby influencing the lower boundary conditions of the atmosphere in this region. The presence of a temperature inversion predominantly characterizes the Arctic lower troposphere throughout the year. The 9th Chinese National Arctic Research Expedition took place in the Pacific Sectors of the Arctic Ocean from July to September 2018, gathering high-resolution radiosonde data to provide a detailed structure of the lowlevel temperature inversion (LLI) over the summer months. Statistical analyses showed that LLIs occurred most frequently below 500 m and were generally weaker and shallower than those occurring during the winter months. Low-level inversions are influenced by both local meteorology and large scale synoptic conditions.The continual presence of low-level clouds or fog tends to lift the inversion layer at the local scale, transferring it from a surface-based inversion (SBI) to an elevated inversion (EI). By contrast, SBIs were found to dominate over regions of melting sea-ice. Regimes, where the cloud top penetrated the inversion base were more frequently observed than where regimes cloud capped by inversion. Inversions tended to be deeper, stronger,and with a lower base during cloud top penetrating inversion base regimes. At the synoptical scale, the intense poleward intrusions of warm air brought moist air to the top of low-level inversions, creating a robust thermal stratification between layers and promoting extensive and frequency occurrences of low cloud/fog.Moreover, the polar high contributed to establishing a multilayer inversion structure at relatively high altitudes by subsidence. These findings contribute to an improving understanding of low-level vertical temperature structures and their influence on a rapidly warming Arctic. (Zhang Lei, Li Jian, Ding Minghu )
Long-term, ground-based daily global solar radiation (DGSR) at Zhongshan Station in Antarctica can quantitatively reveal the basic characteristics of Earth’s surface radiation balance and validate satellite data for the Antarctic region. The fixed station was established in 1989, and conventional radiation observations started much later in 2008. In this study, a random forest (RF) model for estimating DGSR is developed using ground meteorological observation data, and a high-precision, long-term DGSR dataset is constructed. Then, the trend of DGSR from 1990 to 2019 at Zhongshan Station, Antarctica is analyzed. The RF model, which performs better than other models, shows a desirable performance of DGSR hindcast estimation with an R2of 0.984,root-mean-square error of 1.377 MJ m?2, and mean absolute error of 0.828 MJ m?2. The trend of DGSR annual anomalies increases during 1990–2004 and then begins to decrease after 2004. Note that the maximum value of annual anomalies occurs during approximately 2004/2005 and is mainly related to the days with precipitation(especially those related to good weather during the polar day period) at this station. In addition to clouds and water vapor, bad weather conditions (such as snowfall, which can result in low visibility and then decreased sunshine duration and solar radiation) are the other major factors affecting solar radiation at this station. The high-precision, long-term estimated DGSR dataset enables further study and understanding of the role of Antarctica in global climate change and the interactions between snow, ice, and atmosphere. (Zeng Zhaoliang,Ding Minghu)
The ability to simulate the surface energy balance is key to studying land-atmosphere interactions;however, it remains a weakness in Arctic polar sciences. Based on the analysis of meteorological data from 1 June to 30 September 2014 from an automatic weather station on the glacier Austre Lovénbreen, near Ny-?lesund, Svalbard, we established a surface energy balance model to simulate surface melt. The results reveal that the net shortwave radiation accounts for 87% (39 W m–2) of the energy sources, and is controlled by cloud cover and surface albedo. The sensible heat equals 6 W m–2and is a continuous energy source at the glacier surface. Net longwave radiation and latent heat account for 31% and 5% of heat sinks, respectively. The simulated summer mass balance equals ?793 mm w.e., agreeing well with the observation by an ultrasonic ranger. (Zou Xiaowei, Ding Minghu)
The winter Arctic oscillation (WAO), as a primary atmospheric variability mode in the Northern Hemisphere, plays a key role in influencing mid-high-latitude climate variations. However, current dynamical seasonal forecasting systems have limited skills in predicting WAO with lead time longer than two months.In this study, we design a linear empirical model using two effective precursors from anomalies of the Arctic sea ice concentration (SIC) and the tropical sea surface temperature (SST) initiated in preceding late summer(August) which are both significantly correlated with WAO in recent four decades. This model can provide a skillful prediction of WAO at about half-year lead started from previous summer and perform much better than the dynamical models. Such a significantly prolonged lead time is owed to the stable precursor signals extracted from the SIC and SST anomalies over specific areas, which can persist from previous August and be further enhanced through autumn months. Validation results show that this model can produce a 20-year independent-validated prediction skill of 0.45 for 1999–2018 and a 39-year cross-validated skill of 0.67 for 1980–2018, providing a potentially effective tool for earlier predictions of winter climate variations at midhigh latitudes. (Ren Hongli, Yu Nie)
南極冰蓋地表能量平衡研究,是耦合冰凍圈,大氣圈和水圈過(guò)程的基礎(chǔ)之一,對(duì)了解冰蓋表面物質(zhì)平衡過(guò)程、提升極地天氣氣候預(yù)報(bào)水平有著極其重要的意義。隨著近年來(lái)極地觀測(cè)水平的提升,南極冰蓋地表能量平衡研究取得了長(zhǎng)足的進(jìn)步,特別是在輻射參數(shù)化和有效熱傳導(dǎo)系數(shù)模擬等方面。但在南極廣袤的地域和多樣的天氣條件下,已有的研究大都適用于局地環(huán)境,限制了我們的模擬和預(yù)測(cè)能力。因此,適用于極地特殊環(huán)境的傳感器的研發(fā)、關(guān)鍵氣候區(qū)的科學(xué)試驗(yàn)的開(kāi)展和基礎(chǔ)的氣象站網(wǎng)建設(shè),能加深我們對(duì)冰/雪—?dú)庀嗷プ饔眠^(guò)程的理解,進(jìn)而改進(jìn)已有的參數(shù)化方案,應(yīng)用于多圈層模式的耦合。(楊堤益,丁明虎)
本文利用美國(guó)航空航天局戈達(dá)德空間研究所地表氣溫,美國(guó)國(guó)家海洋和大氣局—環(huán)境科學(xué)協(xié)作研究所20世紀(jì)再分析資料,以及第六次國(guó)際耦合模式比較計(jì)劃的多模式Historical試驗(yàn)結(jié)果,去除外強(qiáng)迫影響后,研究1910/1911—2019/2020年冬季(DJF)歐亞中高緯地區(qū) “暖北極—冷歐亞”(WACE)模態(tài)的年代際變化特征及其物理原因。結(jié)果表明:WACE具有顯著的年代際變化,在WACE正位相時(shí)期,烏拉爾阻塞發(fā)生頻率偏高,有利于熱量向極區(qū)輸送使得極區(qū)出現(xiàn)異常暖平流,且水汽向極區(qū)輸送導(dǎo)致極區(qū)水汽輻合,向下長(zhǎng)波輻射增加,另外對(duì)流活動(dòng)增強(qiáng)導(dǎo)致潛熱釋放,進(jìn)而極區(qū)溫度上升。與此同時(shí),極渦及歐亞大陸西風(fēng)減弱且烏拉爾阻塞發(fā)生頻率偏高,有利于冷空氣侵襲歐亞大陸造成異常冷平流,且歐亞地區(qū)水汽輻散,向下長(zhǎng)波輻射減少,對(duì)流活動(dòng)減弱進(jìn)而潛熱釋放減少,導(dǎo)致歐亞大陸溫度降低。最后利用CAM3.0大氣環(huán)流模式模擬了北大西洋海溫正異常對(duì)WACE的影響,模式結(jié)果與統(tǒng)計(jì)結(jié)果相符合,進(jìn)一步說(shuō)明了北大西洋海溫正異??梢酝ㄟ^(guò)強(qiáng)迫低層與高層大氣環(huán)流異常,導(dǎo)致極區(qū)水汽輻合,歐亞大陸水汽輻散,進(jìn)而影響WACE的年代際變化。(王婧, 呂俊梅)
基于ERA-Interim再分析資料,借助大氣模式CAM4,分析了北半球冬季不同月份的平均大氣對(duì)巴倫支海不同振幅及不同季節(jié)海冰擾動(dòng)的敏感性,并考察了中高緯度典型大氣模態(tài)的分布變化情況。結(jié)果表明,冬季巴倫支海海冰的減少,會(huì)導(dǎo)致湍流熱通量異常向上、局地異常變暖及水汽含量的異常升高,且相關(guān)異常的強(qiáng)度和范圍隨著海冰減少幅度的減小而減弱。這種局地響應(yīng)會(huì)通過(guò)大氣環(huán)流調(diào)整擴(kuò)散開(kāi)來(lái),產(chǎn)生遠(yuǎn)程影響。具體地,冬季大氣環(huán)流與歐亞地面溫度異常對(duì)于不同幅度海冰異常的響應(yīng)是非線性的,且在不同月份也呈現(xiàn)出不同特征。秋季巴倫支海海冰減少雖未引起局地顯著的溫度異常,但歐亞大陸溫度及環(huán)流場(chǎng)異常響應(yīng)的強(qiáng)度更強(qiáng)、范圍更廣,這表明秋季海冰可以獨(dú)立地對(duì)冬季中緯度大氣產(chǎn)生影響。此外,冬季不同月份西伯利亞高壓強(qiáng)度、位置對(duì)巴倫支海海冰減少的響應(yīng)是不同的,北大西洋濤動(dòng)位相的傾向變化對(duì)不同季節(jié)、不同振幅海冰減少的響應(yīng)也不相同。冬季海冰減少時(shí),12月和1月,西伯利亞高壓強(qiáng)度更易偏強(qiáng)、位置易偏東,2月則與之相反。與冬季相比,秋季海冰偏少時(shí),西伯利亞高壓更易穩(wěn)定維持在歐亞大陸,晚冬時(shí)發(fā)生北大西洋濤動(dòng)負(fù)位相的概率增大,但出現(xiàn)極端負(fù)位相概率降低。這為了解巴倫支海海冰異常對(duì)北半球天氣、氣候的影響提供了參考。(段升妮,姜智娜)
北極地區(qū)對(duì)全球變暖十分敏感,分析北極地區(qū)過(guò)去2000年歷史氣候?qū)沂救驓夂蜃兓瘶O其重要,也是國(guó)際過(guò)去全球變化計(jì)劃(PAGES)的重要目標(biāo)。然而,過(guò)去2000年北極不同區(qū)域的氣候隨時(shí)間變化是否存在一致性仍有待檢驗(yàn)。文章基于北極地區(qū)及其3個(gè)子扇區(qū)(北大西洋扇區(qū)、阿拉斯加扇區(qū)和西伯利亞扇區(qū))的溫度序列,對(duì)過(guò)去2000年北極的氣候變化進(jìn)行了趨勢(shì)分析與頻譜特征分析,初步探討了大西洋多年代濤動(dòng)(AMO)作為驅(qū)動(dòng)因子對(duì)北極地區(qū)溫度的影響。結(jié)果表明,公元1—1800年間北極地區(qū)存在著普遍的降溫過(guò)程(-0.47 ℃/ka),但溫度變化區(qū)域差異顯著,其中北大西洋扇區(qū)與北極地區(qū)整體溫度間呈現(xiàn)顯著的相關(guān)性(0.82)。北大西洋扇區(qū)溫度呈現(xiàn)“平穩(wěn)—下降—陡升”的趨勢(shì),阿拉斯加扇區(qū)溫度呈現(xiàn)“下降—緩升—下降—陡升”的趨勢(shì),西伯利亞扇區(qū)溫度呈現(xiàn)“平穩(wěn)波動(dòng)—陡升”的趨勢(shì)。在過(guò)去200年間北極地區(qū)及其3個(gè)子扇區(qū)氣候均出現(xiàn)了快速變暖。頻譜分析表明,北極地區(qū)溫度存在著準(zhǔn)14年、準(zhǔn)26年、準(zhǔn)62年、準(zhǔn)75年和準(zhǔn)186年周期,其中北極地區(qū)溫度的LFV譜在準(zhǔn)62年與準(zhǔn)75年周期與AMO周期大致吻合。綜合交叉譜與小波分析的結(jié)果,公元1100年后,AMO以準(zhǔn)74年的周期影響北極的氣候變化,其中,北大西洋扇區(qū)受影響最為明顯。阿拉斯加扇區(qū)與西伯利亞扇區(qū)雖然存在著顯著的年代際周期特征,但可能與AMO的關(guān)聯(lián)并不顯著,這些區(qū)域氣候變化的影響機(jī)理需要進(jìn)一步深入研究。(祁威,丁明虎)
國(guó)家氣候中心氣候系統(tǒng)模式(BCC_CSM)將美國(guó)Los Alamos國(guó)家實(shí)驗(yàn)室發(fā)展的海冰模式CICE5.0替代原有的海冰模式SIS,形成一個(gè)新版本耦合模式,很好地提高了模式對(duì)北極海冰和北極氣候的模擬能力。在此基礎(chǔ)上,本文評(píng)估新耦合模式對(duì)1985—2014年?yáng)|亞冬季氣候的模擬性能,檢驗(yàn)北極海冰模擬性能的改進(jìn)對(duì)東亞冬季氣候模擬性能的影響。結(jié)果表明,引入CICE5.0后,新耦合模式能較好地模擬出東亞冬季海平面氣壓、850 hPa風(fēng)場(chǎng)以及輻射通量,進(jìn)而改善東亞氣溫以及降水的氣候態(tài)空間分布模擬效果。進(jìn)一步分析發(fā)現(xiàn),與原有耦合模式相比,新耦合模式更好地抓住了東亞冬季海平面氣壓、總降水量和氣溫異常對(duì)同期巴倫支?!:1芗犬惓5捻憫?yīng),進(jìn)而提高了模式對(duì)東亞冬季中高緯度地區(qū)氣溫以及降水變率的模擬能力。(鄧汝漳,儲(chǔ)敏,任宏利,劉景鵬,陳權(quán)亮)
第三極地區(qū)氣候多樣、災(zāi)害頻發(fā),是影響全球和亞洲氣候異常的關(guān)鍵區(qū)域,針對(duì)此地區(qū)開(kāi)展季節(jié)—年際氣候預(yù)測(cè)研究對(duì)于提高區(qū)域預(yù)報(bào)技巧以及減少災(zāi)害造成的影響具有重要的科學(xué)和指導(dǎo)意義?;趪?guó)家氣候中心氣候預(yù)測(cè)業(yè)務(wù)模式(BCC_CSM1.1m)的歷史回報(bào)和預(yù)測(cè)數(shù)據(jù),對(duì)第三極地區(qū)2 m氣溫和積雪的預(yù)測(cè)結(jié)果進(jìn)行了確定性技巧評(píng)估,并分析了海洋因子對(duì)于預(yù)測(cè)技巧的調(diào)制作用。研究表明:該模式對(duì)于青藏高原及其周邊地區(qū)氣溫和積雪的季節(jié)—年際氣候預(yù)測(cè)具有一定的預(yù)測(cè)能力,對(duì)夏季氣溫的預(yù)測(cè)效果整體上好于冬季氣溫和積雪深度預(yù)測(cè);預(yù)測(cè)技巧隨著模式起報(bào)時(shí)間的提前而下降,但是存在技巧回升現(xiàn)象。研究也發(fā)現(xiàn),海溫異常因子對(duì)第三極地區(qū)的氣候預(yù)測(cè)技巧具有不同程度的調(diào)制作用,厄爾尼諾等海洋信號(hào)能夠通過(guò)直接和間接作用影響第三極地區(qū)的氣候預(yù)測(cè)。(汪芋君,任宏利,王琳)
2021年,中國(guó)氣象科學(xué)研究院繼續(xù)執(zhí)行極地氣象業(yè)務(wù)化觀測(cè)任務(wù),陜西省氣象局武維剛、安徽省氣象局凌新鋒和山西省氣象局董劍3位同志在南極長(zhǎng)城站和中山站進(jìn)行地面氣象、臭氧洞及大氣成分等觀測(cè),獲取合乎WMO規(guī)范的氣象數(shù)據(jù)并報(bào)送中國(guó)氣象局國(guó)家氣象信息中心和WMO。在南極冰蓋內(nèi)陸及邊緣地區(qū)、格陵蘭冰蓋等地區(qū)維護(hù)運(yùn)行的17個(gè)自動(dòng)氣象站繼續(xù)穩(wěn)定獲取自動(dòng)氣象觀測(cè)數(shù)據(jù)。選拔并培訓(xùn)了第38次南極考察隊(duì)員,已前往南極執(zhí)行下一年度觀測(cè)任務(wù)。
在昆侖站、泰山站穩(wěn)定準(zhǔn)業(yè)務(wù)運(yùn)行5年和近9年之后,經(jīng)過(guò)對(duì)接收到的數(shù)據(jù)的分析,兩站數(shù)據(jù)質(zhì)量穩(wěn)定,數(shù)據(jù)到報(bào)率分別超過(guò)99.58%和99.73%,指標(biāo)超過(guò)國(guó)家基本氣象站業(yè)務(wù)運(yùn)行要求。為體現(xiàn)中國(guó)氣象全球觀測(cè)、全球預(yù)報(bào)和全球服務(wù)的戰(zhàn)略目標(biāo),我們積極向院和局觀測(cè)司、預(yù)報(bào)司以及國(guó)際司等業(yè)務(wù)主管部門(mén)申請(qǐng),使兩站升級(jí)為國(guó)家基本氣象站(站號(hào):89572、89576),自2021年12月1日(北京時(shí)間11月30日20:00)起正式開(kāi)展業(yè)務(wù)運(yùn)行,凸顯極地特殊環(huán)境觀測(cè)水平。該工作受到WMO和國(guó)際關(guān)注。
由于疫情原因,2020年度無(wú)法派人去黃河站現(xiàn)場(chǎng)工作。目前國(guó)內(nèi)接收到截至2020年2月2日數(shù)據(jù),內(nèi)部存儲(chǔ)卡可存儲(chǔ)一年數(shù)據(jù),其余數(shù)據(jù)需現(xiàn)場(chǎng)取回。2021年,氣科院積極參與極地考察工作,在第12次北極科學(xué)考察中繼續(xù)進(jìn)行走航路線上大氣成分的觀測(cè),觀測(cè)內(nèi)容包括黑碳?xì)馊苣z、CH4、CO2、CO、地面臭氧。
This study investigates precursory signals of the June precipitation over the southern Yangtze River Valley(SYRV). It is found that the synergistic anomalies of the Turan Plain soil moisture and northern Iranian Plain snow cover (TPSM-IPSC) during April can modulate the June SYRV precipitation. Through the persistence/memory effect of soil moisture anomalies, lower soil moisture around the Turan Plain-Iranian Plain region can maintain from April to June. Because of drier soil (i.e., lower soil moisture), higher surface air temperature (SAT)appears over the Turan Plain during June. The higher SAT anomaly stimulates anomalous upward motion and associated overlying and downstream atmospheric circulation anomalies through modulating the downstream dispersion of Rossby wave energy. As a part of these atmospheric circulation anomalies, the blocking-like anomaly to the west of the Okhotsk Sea facilitates more June precipitation over the SYRV. Additionally, June SYRV precipitation is significantly correlated with sea surface temperature (SST) anomalies in the tropical eastern Pacific (TEP) during the preceding winter. The TPSM-IPSC can compensate for the defect of prediction using the TEP SST (i.e., ENSO) signal in recent years since the former (latter) shows a strengthened (weakened)relationship with SYRV precipitation recently. Considering jointly the traditional pacific SST and new TPSMIPSC precursors, we establish a physics-based statistical prediction model, which shows a good skill in predicting June SYRV precipitation. (He Kejun, Liu Ge, Wu Renguang, Nan Sulan, Li Jingxin, Yue Xiaoyuan,Wang Huimei, Wei Xinchen, Li Rongrong)
This study investigates the variability of summer surface air temperature (SAT) over northern Eurasia and its precursory signals in the tropical Atlantic and northern Asian land. The leading mode of summer SAT variations features a northern Eurasian SAT tripole (NEST) pattern, with two same-sign SAT anomaly regions over eastern Europe-western Siberia and the Far East region and an opposite-sign SAT anomaly region around the Baikal Lake. It is found that sea surface temperature (SST) or SAT anomalies in the tropical Atlantic and rainfall-soil moisture anomalies around the Baikal Lake during May can modulate the NEST pattern. The SST anomalies in the tropical Atlantic persist from May to summer and induce a downstream zonal wave train across northern Eurasia, consequently causing the variation in the summer NEST pattern. May rainfall anomalies around the Baikal Lake affect the overlying atmospheric circulation during summer through the“memory” effect of soil moisture and the soil moisture-rainfall interaction, correspondingly modulating the downstream wave train and the associated NEST pattern. Based on the above results, a statistical prediction model is established using the two precursory signals, that is, SAT in the tropical Atlantic and rainfall around the Baikal Lake during May. The leave-three-out cross-validation shows that the model has a high skill in predicting the summer NEST pattern, with a correlation coefficient of 0.51 (significant at the 99.8% confidence level) between observation and prediction during the period 1980?2016. (He Kejun, Liu Ge, Wu Renguang, Li Jingxin, Wang Huimei, Yue Xiaoyuan)
Photochemical smog characterized by high concentrations of ozone (O3) is a serious air pollution issue in the North China Plain (NCP) region, especially in summer and autumn. For this study, measurements of O3,nitrogen oxides (NOx), volatile organic compounds (VOCs), carbon monoxide (CO), nitrous acid (HONO),and a number of key physical parameters were taken at a suburban site, Xianghe, in the NCP region during the summer of 2018 in order to better understand the photochemical processes leading to O3formation and find an optimal way to control O3pollution. Here, the radical chemistry and O3photochemical budget based on measurement data during 1–23 July using a chemical box model is investigated. The daytime (06:00–18:00 LST) average production rate of the primary radicals referred to as ROx(OH + HO2+ RO2) is 3.9×10?9(V) h?1.HONO photolysis is the largest primary ROxsource (41%). Reaction of NO2+ OH is the largest contributor to radical termination (41%), followed by reactions of RO2+ NO2(26%). The average diurnal maximum O3production and loss rates are 32.9×10?9(V) h?1and 4.3×10?9(V) h?1, respectively. Sensitivity tests without the HONO constraint lead to decreases in daytime average primary ROxproduction by 55% and O3photochemical production by 42%, highlighting the importance of accurate HONO measurements when quantifying the ROxbudget and O3photochemical production. Considering heterogeneous reactions of trace gases and radicals on aerosols, aerosol uptake of HO2contributes 11% to ROxsink, and the daytime average O3photochemical production decreases by 14%. The O3-NOx-VOCs sensitivity shows that the O3production at Xianghe during the investigation period is mainly controlled by VOCs. (Xue min, Ma Jianzhong)
Technological advances have the potential to balance climate change mitigation and economic development. However, it remains unclear how much technological advances alone can mitigate climate change and the associated economic losses in the future. Through designing a suite of technological advances scenarios and using an earth system model with an integrated assessment model, we illustrate that rapid technological progress without production control might achieve the 2 global warming target in the 2100s.Relative to a world of stagnant technology, the frequency (intensity) of extreme warm events at the end of the 21st century (2081?2100) would be reduced by about 21% (5.5 ) via rapid technological advances, with a reduction in extreme precipitation (droughts) by about 41% (10 times). Furthermore, fast technological advances may reduce the global economic losses linked with climate change at 2081?2100 by about 21% and those in China related to floods (droughts) by 86% (67%). Our results highlight the potential of technological advances to fill the emission gap between the Paris Agreement and unconditional Nationally Determined Contributions and hence to efficiently mitigate global warming. (Wei Ting, Liu Changxin, Dong Wenjie)
Inclusion of the thermal and hydraulic effect of soil organic matter plays an important role in land-surface models (LSMs) for simulating soil temperature and surface energy exchanges. The current officially released Noah with multiparameterization (Noah-MP) LSM, implemented in the community weather research and forecasting (WRF) model, does not include a parameterization for soil organic matter. In this study, the thermal and hydraulic effect of soil organic matter was parameterized into Noah-MP LSM. Based on the profiled soil organic matter data for China and the observations of skin temperature and soil temperature profiles from more than 2000 surface meteorological stations, we investigated the effects of organic soil using the Noah-MP LSM with and without the profiled soil organic matter at the regional scales. Compared with the simulation without the inclusion of organic soil parameterization, the Noah-MP LSM simulation with the profiled soil organic matter improved the skin temperature and soil temperature profiles, especially soil temperature in deep soils under cold and arid regions. The realistic representation of snow depth and the snow insulation dependency on snow depth were confirmed to be a pre-requisite in Noah-MP in the high latitudes. By incorporating the profiled soil organic matter, the Noah-MP LSM enlarged the regional mean sensible heat flux (SH) and lowered the regional mean latent heat flux (LH). In the warm and humid regions, a relatively smaller effect of organic soil on soil temperature could lead to a larger effect on SH and LH, especially LH. (Zhang Guo, Chen Yueli, Li Jianduo)
Inter-hemispheric transport may strongly affect the trace gas composition of the atmosphere, especially in relation to anthropogenic emissions, which originate mainly in the Northern Hemisphere. This study investigates the transport from the boundary surface layer of the Northern Hemispheric (NH) extratropics(30o–90o N), Southern Hemispheric (SH) extratropics (30o–90o S), and tropics (30o S–30o N) into the global upper troposphere and lower stratosphere (UTLS) using simulations with the chemical Lagrangian model of the stratosphere (CLaMS). In particular, we diagnose inter-hemispheric transport in terms of the air mass fractions (AMFs), age spectra, and the mean age of air (AoA) calculated for these three source regions. We find that the AMFs from the NH extratropics to the UTLS are about 5 times larger than the corresponding contributions from the SH extratropics and almost 20 times smaller than those from the tropics. The amplitude of the AMF seasonal variability originating from the NH extratropics is comparable to that from the tropics.The NH and SH extratropical age spectra show much stronger seasonality compared to the seasonality of the tropical age spectra. The transit time of NH-extratropical-origin air to the SH extratropics is longer than vice versa. The asymmetry of the inter-hemispheric transport is mainly driven by the Asian summer monsoon (ASM).We confirm the important role of ASM and westerly ducts in the inter-hemispheric transport from the NH extratropics to the SH. Furthermore, we find that it is an interplay between the ASM and westerly ducts which triggers such cross-equator transport from boreal summer to fall in the UTLS between 350 and 370 K. (Yan Xiaolu, Paul Konopka, Marius Hauck, Aurélien Podglajen, Felix Ploeger)
Global climatic change indicates that some climate systems have passed tipping points, e.g. the inner East Asia; however it’s still uncertain when the tipping point of forest mortality could be triggered. Absent rings are early warnings of irreversible mortality. They widely exist in Northern Hemisphere forests, but they’re locally rare and under-discussed in previous studies. We reported a tree ring network, including 17 collections among the extensive distribution of Pinus tabuliformis in North China. Locally absent rings (LAR) were counted and logistic models were built to determine biotic and abiotic driving forcings of LAR. Pinus tabuliformis suffered increasing LAR frequency in recent decades, and the highest LAR frequency occurred at the driest distributional margin. At the semi-arid region, LAR frequency increased along with increasing age, decreasing previous September moisture, and decreasing May moisture. LAR risk would gradually increase, and older trees would suffer quite high LAR risk in the future. We highlight the connection between frequent LAR and extreme droughts in semi-arid pine forests, and propose that LAR can be a proxy of the potential tipping points of forest systems. (Zhao Shoudong, Jiang Yuan, Wen Yan, Jiao Liang, Li Wenqing, Xu Hui, Ding Minghu)
Increases in total and extreme precipitation have been investigated worldwide using limited spatiotemporal data based on surface observations and satellite remote sensing during recent decades.However, it remains unclear whether rain gauge daily precipitation records also show a significant increase in global precipitation. In this study, we first apply the transformed version of the penalized maximum F test(“transPMFred”) to homogenize daily precipitation (P) records from 10629 stations around the world during 1960–2016 from a dataset (GHCN-CMA) that combines the daily precipitation data from the Global Historical Climatology Network (GHCN-Daily) dataset and the China Meteorological Administration (CMA), and then utilize the homogenized data to study the frequency of daily precipitation on a global scale. The results indicate that precipitation frequency exhibited significant increasing trends from 1960 to 2016 across most of the globe,except for East Asia. Moreover, the variability of global precipitation frequency was more pronounced in wet regions than dry regions, especially in North America, Europe and East Asia based multiple daily precipitation datasets. The regional average frequency for moderate (30th < P ≤ 60th percentile), heavy (60th < P≤ 90th percentile) and very heavy (P > 90th percentile) precipitation increased in North America and Europe. Changes in precipitation frequency decreased for light (P ≤ 30th percentile) and moderate precipitation but increased for heavy and very heavy precipitation, which mainly occurs in dry regions of Australia. Moreover, precipitation frequency in wet and dry regions of East Asia showed opposite trends, with a decrease in wet regions and an increase in dry regions. (Liu Jun, Wu Dongyou, Li Yue, Ren Hongli, Zhao Yongtao, Sun Xiaoyu, Zhang Haitao,Ji Mingxia)
We present results from the first 6 years of this major UK government funded project to accelerate and enhance collaborative research and development in climate science, forge a strong strategic partnership between UK and Chinese climate scientists, and demonstrate new climate services developed in partnership.The development of novel climate services is described in the context of new modeling and prediction capability, enhanced understanding of climate variability and change, and improved observational datasets.Selected highlights are presented from over 300 peer reviewed studies generated jointly by UK and Chinese scientists within this project. We illustrate new observational datasets for Asia and enhanced capability through training workshops on the attribution of climate extremes to anthropogenic forcing. Joint studies on the dynamics and predictability of climate have identified new opportunities for skillful predictions of important aspects of Chinese climate such as East Asian summer monsoon rainfall. In addition, the development of improved modeling capability has led to profound changes in model computer codes and climate model configurations, with demonstrable increases in performance. We also describe the successes and difficulties in bridging the gap between fundamental climate research and the development of novel real-time climate services. Participation of dozens of institutes through subprojects in this program, which is governed by the Met Office Hadley Centre, the China Meteorological Administration, and the Institute of Atmospheric Physics,is creating an important legacy for future collaboration in climate science and services. (Scaife Adam A., Good Elizabeth, Sun Ying, Yan Zhongwei, Dunstone Nick, Ren Hongli)
Strong Eastern-Pacific type El Ni?o (EP-El Ni?o) events have significant impacts on the decaying-summer precipitation over East Asia (EA). It has been demonstrated that frequency of strong EP-El Ni?os will increase and associated precipitation will become more severe and complex under future high emission scenarios. In this study, using simulations of CMIP5 and CMIP6, changes of the summer precipitation pattern related to strong EP-El Ni?o during its decay phase and the possible mechanism as responding to high emission scenarios are examined. Precipitation anomaly patterns over EA of strong EP events show a large inter-model spread in historical simulations between the CMIP models where CMIP6 is not superior to CMIP5. Under high emission scenarios, changes of summer precipitation anomalies related to strong EP events tend to increase over the southern EA and decrease around the northern EA from CMIP5, while there is an overall increase in the whole EA from CMIP6. The common change is featured by the increase of precipitation over southeastern China under high emission scenarios. This could be mainly attributed to the anticyclonic circulation from the South China Sea to the western North Pacific as a delayed response to more frequent strong EP-El Ni?os, which favors an increase in water vapor fluxes converging into the southeastern China. (Huang Yu, Ren Hongli, Liu Minghong)
This paper reports findings from a diagnostic and modeling analysis that investigates the impacts of the boreal late-spring soil moisture anomalies over North Eurasia on the summer rainfall over the northern East Asia (NEA). The soil moisture in May from the Kara-Laptev Sea coasts to Central Siberian Plateau is found to be negatively correlated with the summer rainfall from Mongolia to Northeast China. The atmospheric circulation anomalies associated with the anomalously dry soil are characterized by a pressure dipole with the high-pressure center located over North Eurasia and low-pressure center over NEA, where an anomalous water vapor convergence occurs, favoring rainfall formation. Diagnoses and modeling experiments demonstrate that the effects of the spring lower soil moisture over North Eurasia may persist into the following summer,then increase the low-level air temperature at higher latitudes through modulating local surface latent and sensible heat fluxes, and effectively reduce the meridional temperature gradient north of NEA. The weakened temperature gradient could induce the decreased vertical shear of zonal wind and generate an anomalously cyclonic center over NEA by affecting the baroclinicity around 60° N, associated with a favorable condition of local synoptic activity to increase rainfall. The above relationships and mechanisms are vice versa for the prior wetter North Eurasian soil and decreased NEA rainfall. These findings suggest that the soil moisture anomalies at higher latitudes may act as a new precursor providing an additional predictability source for better predicting the summer rainfall in NEA. (Sang Yinghan, Ren Hongli, Deng Yi, Xu Xiaofeng, Shi Xueli, Zhao Shuo)
We employ the fifth generation of the European Centre for medium-range weather forecasts reanalysis to investigate the leading mode of the East Asian zonal wind and the contribution of associated climatic factors in boreal winter during 1979?2020. The dominant mode, accounting for 46% of the explained variance,indicates that the East Asian subtropical jet (EASJ) and East Asian polar frontal jet (EAPJ) are meridionally displaced in opposite directions. The corresponding first principal component (PC1) shows clear interannual and interdecadal variations, with a regime shift in the year 1997. The dominant mode is significantly related to the Ni?o3.4 sea surface temperature (SST), the Barents-Kara Seas (BKS) sea ice concentration (SIC),the Arctic oscillation (AO) and the Tibetan Plateau (TP) surface air temperature (SAT) on interannual and interdecadal timescales. Multiple linear regression with these variables reproduces PC1 well. The interdecadal variation of PC1 is dominated by the BKS SIC and Ni?o3.4 SST. The Ni?o3.4 SST explains more than half of the variance of PC1 on an interannual time scale, which is more than all of the other factors combined.The El Ni?o phase and BKS SIC are associated with the distance between the EASJ axis (EASJA) and the EAPJ axis (EAPJA). The AO and TP SAT may influence the meridional migration of the EASJA and EAPJA,respectively. The distance between the EASJA and EAPJA also depends on the configuration of the southern Asian cyclone and Siberian anticyclone. (Dong Xiao, Zhao Ping, Ren Hongli)
In this study, the predictability of the El Ni?o-south oscillation (ENSO) in an operational prediction model from the perspective of initial errors is diagnosed using the seasonal hindcasts of the Beijing Climate Center system model, BCC_CSM1.1m. Forecast skills during the different ENSO phases are analyzed and it is shown that the ENSO forecasts appear to be more challenging during the developing phase, compared to the decay phase. During ENSO development, the SST prediction errors are significantly negative and cover a large area in the central and eastern tropical Pacific, thus limiting the model skill in predicting the intensity of El Ni?o. The large-scale SST errors, at their early stage, are generated gradually in terms of negative anomalies in the subsurface ocean temperature over the central-western equatorial Pacific, featuring an error evolutionary process similar to that of El Ni?o decay and the transition to the La Ni?a growth phase. Meanwhile, for short lead-time ENSO predictions, the initial wind errors begin to play an increasing role, particularly in linking with the subsurface heat content errors in the central-western Pacific. By comparing the multiple samples of initial fields in the model, it is clearly found that poor SST predictions of the Ni?o3.4 region are largely due to contributions of the initial errors in certain specific locations in the tropical Pacific. This demonstrates that those sensitive areas for initial fields in ENSO prediction are fairly consistent in both previous ideal experiments and our operational predictions, indicating the need for targeted observations to further improve operational forecasts of ENSO. (Tian Ben, Ren Hongli )
Dynamical prediction of monsoon rainfall has been an important topic and a long-standing issue in both research and operational community. This paper provides a comprehensive evaluation of the subseasonal-toseasonal (S2S) prediction skill of the East Asian summer monsoon (EASM) rainfall using the hindcast record from the Beijing Climate Center climate system model, BCC CSM1.1m, during the period 1983–2019. The model exhibits reasonable skills for predicting the EASM rainfall at all lead times with the skill dropping dramatically from the shortest lead time of about 2 weeks (LM0) to 1-month lead (LM1), and then fluctuating remarkably throughout 2-month to 12-month lead times. Over the EASM domain, the rapid decline of the S2S rainfall prediction skill from LM0 to LM1 is mainly caused by the inferior skills over Central China in July and over Northeast China in August. Composite analysis based on hindcast records suggests that these inferior skills are directly tied to the model’s difficulties in capturing above-normal precipitation over the eastern Central China and Northeast China in the respective months, which are further shown to be associated with anomalous weakening and meridional movement of the Northwestern Pacific subtropical high and the activity of large-scale teleconnection pattern hard to be predicted over the northeastern Asia in summer, respectively.These findings inform the intrinsic limits of the S2S predictability of the EASM rainfall by a dynamical model,and strongly suggest that the level of confidence placed upon S2S forecasts should be stratified by large-scale circulation anomalies known to significantly affect the prediction skill, e.g., the subtropical high and highlatitude teleconnection patterns for summer monsoon rainfall prediction in this region. (Wang Na, Ren Hongli,Deng Yi, Zhao Siyu)
Seasonal prediction of summer rainfall is crucial to reduction of regional disasters, but currently it has a low prediction skill. We developed a dynamical and machine learning hybrid (MLD) seasonal prediction method for summer rainfall in China based on circulation fields from the Chinese Academy of Sciences(CAS) flexible global ocean-atmosphere-land system model finite volume version 2 (FGOALS-f2) operational dynamical prediction model. Through selecting optimum hyperparameters for three machine learning methods to obtain the best fit and least overfitting, an ensemble mean of the random forest and gradient boosting regression tree methods was shown to have the highest prediction skill measured by the anomalous correlation coefficient. The skill has an average value of 0.34 in the historical cross-validation period (1981?2010) and 0.20 in the 10-year period (2011?2020) of independent prediction, which significantly improves the dynamical prediction skill by 400%. Both reducing overfitting and using the best dynamical prediction are important in applications of the MLD method and in-depth analysis of these warrants a further investigation. (Wang Jialin,Yang Jing, Ren Hongli, Li Jinxiao, Bao Qing, Gao Miaoni)
Arctic amplification refers to the greater surface warming of the Arctic than of other regions during recent decades. A similar phenomenon occurs in the troposphere and is termed “tropospheric Arctic amplification”(TAA). The poleward eddy heat flux and eddy moisture flux are critical to Arctic warming. In this study, we investigate the synoptic transient eddy activity over the North Pacific associated with TAA and its relationship with the subtropical jet stream, and propose the following mechanism. A poleward shift of the subtropical jet axis results in anomalies of the meridional gradient of zonal wind over the North Pacific, which drive a meridional dipole pattern of synoptic transient wave intensity over the North Pacific, referred to as the North Pacific synoptic transient wave intensity dipole (NPSTD). The NPSTD index underwent an interdecadal shift in the late 1990s accompanying that of the subtropical jet stream. During the positive phase of the NPSTD index, synoptic eddy heat flux transports more heat to the Arctic circle, and the eddy heat flux diverges,increasing Arctic temperature. This mechanism highlights the need to consider synoptic transient eddy activity over the North Pacific as the link between the mean state of the North Pacific subtropical upper jet and TAA.(Dong Xiao, Ren Hongli)
The phase-locking behavior of El Ni?o-southern oscillation (ENSO) in models from Coupled Model Intercomparison Project (CMIP) phase 5 to phase 6 is assessed in terms of the locking-month of ENSO peak and the sharpness of locking tendency. Overall, a robust improvement exists in CMIP6. Compared to CMIP5,more CMIP6 models truly reproduce the locking-month in November-January. Meanwhile, the sharpness of phase-locking in CMIP6 models also improves, though most of them are still far from the observations.The locking-month is verified to be highly corresponding to the phase of seasonal modulation of ENSO’s instabilities. The sharpness is mainly controlled by the intensity of this modulation and noise. Compared to CMIP5, CMIP6 models generally simulate these affecting factors better. Besides, models displaying an exaggerated semi-annual variation of ENSO’s instabilities simulate the ENSO phase-locking relative-poorly,and these models show no reduction from CMIP5 to CMIP6. (Liu Minghong, Ren Hongli, Zhang Renhe, Sarah Ineson, Wang Run)
Long-lead precipitation forecasts for 1?4 seasons ahead are usually difficult in dynamical climate models due to the model deficiencies and the limited persistence of initial signals. But, these forecasts could be empirically improved by statistical approaches. In this study, to improve the seasonal precipitation forecast over the southern China (SC), the statistical downscaling (SD) models are built by using the predictors of atmospheric circulation and sea surface temperature (SST) simulated by the Beijing Climate Center climate system model version 1.1 m (BCC_CSM1.1 m). The different predictors involved in each SD model is selected based on both its close relationship with the target seasonal precipitation and its reasonable prediction skill in the BCC_CSM1.1 m. Cross and independent validations show the superior performance of the SD models,relative to the BCC_CSM1.1 m. The temporal correlation coefficient of SD models could reach over 0.4,exceeding the 95% confidence level. The SC precipitation index can be much better forecasted by the SD models than by the BCC_CSM1.1 m in terms of the interannual variability. In addition, the errors of the precipitation forecast in all four seasons are significantly reduced over most of SC in the SD models. For the 2015/2016 strong El Ni?o event, the SD models outperform the dynamical BCC_CSM1.1 m model on the spatial and regional-average precipitation anomalies, mostly due to the effective SST predictor in the SD models and the weak response of the SC precipitation to El Ni?o-related SST anomalies in the BCC_CSM1.1 m. (Liu Ying, Ren Hongli, N. P. Klingaman, Liu Jingpeng, Zhang Peiqun)
This study conducts an intercomparison of the column-integrated moist static energy (MSE) and water vapor budget of the Madden-Julian oscillation (MJO) among six modern global reanalysis products (RAs).Inter-RA differences in the mean MSE, MJO MSE anomalies, individual MSE budget terms, and their relative contributions to the propagation and maintenance of MJO MSE anomalies are examined. Also investigated is the relationship between the MJO column water vapor (CWV) budget residuals with the other CWV budget terms as well as with the two parameters that characterize cloud-radiation feedback and moisture–convection coupling. Results show a noticeable inter-RA spread in the mean-state MSE, especially its vertical structure. In all RAs, horizontal MSE advection dominates the propagation of the MJO MSE while columnintegrated longwave radiative heating and vertical MSE advection are found to be the key processes for MJO maintenance. The MSE budget terms directly affected by the model parameterization schemes exhibit high uncertainty. The differences in anomalous vertical velocity mainly contribute to the large differences in vertical MSE advection among the RAs. The budget residuals show large inter-RA differences and have nonnegligible contributions to MJO maintenance and propagation in most RAs. RAs that underestimate (overestimate) the strength of cloud-radiation feedback and the convective moisture adjustment time scale tend to have positive(negative) MJO CWV budget residual, indicating the critical role of these processes in the maintenance of MJO CWV anomalies. Our results emphasize that a correct representation of the interactions among moisture,convection, cloud, and radiation is the key for an accurate depiction of the MJO MSE and CWV budget in RAs. (Ren Pengfei, Daehyun Kim, Min-Seop Ahn, Daehyun Kang, Ren Hongli )
The summer rainfall change over East Asia in response to CO2forcing and the associated processes are investigated via a set of pilot timeslice piSST experiments from the Cloud Feedback Model Intercomparison Project phase 3 (CFMIP-3). The total response of rainfall to 4 × CO2in coupled models is decomposed into components associated with uniform SST warming, SST pattern change, the direct radiative effect of increased CO2, and the plant physiological response. In general, the contributions of the individual responses of summer rainfall to different forcings are subject to a regional dependence. The uniform SST warming reduces rainfall in many land regions in East Asia, but increases rainfall over the northern East Asia. The spatial patterns of the rainfall change as the result of SST pattern change are nearly opposite to those of the uniform SST warming,which account for most inter-model uncertainty in the simulations. The direct radiative effect of increasing CO2is largely responsible for an increase of rainfall across the East Asian continent, especially over the central China and southern Tibetan Plateau, and the plant physiological effect appears to increase rainfall over the eastern and southern China. Also discussed are the atmospheric circulation changes that are driven by the distinct aspects of CO2forcing and directly tied to the summer rainfall changes. (Huang Yu, Ren Hongli, Robin Chadwick, Deng Yi)
This study provides a comprehensive evaluation of historical surface soil moisture simulation (1979–2012) over Eurasia at annual and seasonal time scales between two medium-resolution versions of the Beijing Climate Center climate system model (BCC-CSM)—one that is currently participating in the Coupled Model Intercomparison Project phase 6 (CMIP6), i.e., BCC-CSM2-MR, and the other, BCC-CSM1.1m, which participated in CMIP5. We show that BCC-CSM2-MR is more skillful in reproducing the climate mean states and standard deviations of soil moisture, with pattern correlations increased and biases reduced significantly.BCC-CSM2-MR performs better in capturing the first two primary patterns of soil moisture anomalies, where the period of the corresponding time series is closer to that of reference data. Comparisons show that BCCCSM2-MR performs at a high level among multiple models of CMIP6 in terms of centered pattern correlation and “amplitude of variation” (relative standard deviation). In general, the centered pattern correlation of BCC-CSM2-MR, ranging from 0.61 to 0.87, is higher than the multi-model mean of CMIP6, and the relative standard deviation is 0.75, which surmounts the overestimations in most of the CMIP6 models. Due to the vital role played by precipitation in land-atmosphere interaction, possible causes of the improvement of soil moisture simulation are further related to precipitation in BCC-CSM2-MR. The results indicate that a better description of the relationship between soil moisture and precipitation and a better reproduction of the climate mean precipitation by the model may result in the improved performance of soil moisture simulation. (Sang Yinghan, Ren Hongli, Shi Xueli, Xu Xiaofeng, Chen Haishan)
The Asian-Australian monsoon (AAM) exerts a strong impact on the regional climate. The ability of climate models to simulate the AAM is of great importance. This study evaluates the performance of 26 models, which participate in the Coupled Model Intercomparison Project phase 5 (CMIP5), in representing features of the leading modes of the AAM interannual variability. This is achieved by diagnosing quantitative metrics derived from a season-reliant empirical orthogonal function (S-EOF) analysis, and plausible external forcing contributing to the simulation results are presented. Our results show that the CMIP5 models can generally capture the spatial patterns of the leading modes of AAM interannual variability during El Ni?o development periods because of strong air?sea interactions. The variance percentage explained by the first two S-EOF modes is found to be closely related to the amplitude of the El Ni?o-southern oscillation (ENSO) in the models. In contrast, simulation of the periodicity remains challenging, and the models show deficiencies in the accurate capture of periodic characteristics. Models with realistic ENSO simulations typically perform well in simulating S-EOF1, and the key to improving the simulation of S-EOF2 is the greater intensity of the simulated field of background heating over the Northwest Pacific warm pool. The multimodel ensemble (MME) performs better than most of the 26 individual models. Models in the MME with better ENSO simulation and stronger warm pool heating are found to be better able to represent the relationships between the first two leading S-EOF modes and ENSO, although biases remained. (Zhou Fang, Ren Hongli, Liu Minghong, Wang Run, Huang Kai)
The intraseasonal variability of multiple tropical cyclone (MTC) events in the western North Pacific (WNP)during 1979–2015 is analyzed using the best-track dataset archived at the Joint Typhoon Warning Center. MTC events are divided into three phases according to the time intervals of the tropical cyclone (TC) genesis, that is, active, normal, and inactive phases. Composite analysis results indicate that MTC events tend to occur in the active phase when the monsoon trough is stronger and located farther north than at other times. Initialized by the data from a 10-year stable running result, a 12-year control experiment is carried out using the hybrid atmosphere-ocean coupled model developed at the University of Hawaii (UH_HCM model) to evaluate its simulation capability. Compared with the climate observations, the model shows good skill in simulating the large-scale environmental conditions in the WNP, especially the subtropical high and the monsoon trough. In addition, the model can well simulate the climate characteristics of TCs in the WNP, as well as the differences in each MTC phase. However, the simulated frequency of TCs is less and their locations are more northeast,compared with the observations. The vorticity and moisture in the model appear to be the two main factors affecting MTC activity based on analyses of the genesis potential index. (Li Tianhang, Ren Hongli, Wu Yujie,Gao Jianyun)
We investigated the relationship between the spring tropospheric temperature over the Tibetan Plateau(TPT) and summer precipitation in the eastern China on an interannual timescale using the monthly mean ERA-Interim reanalysis dataset, the HadISST dataset and the daily mean precipitation dataset for China.We found that there is a significant positive correlation between the spring TPT and summer precipitation in the North China-Hetao region. The relationship is manifested in the context of the East Asia-Pacific pattern teleconnection. In the high spring TPT index years, the geopotential height anomalies over East Asia and the western North Pacific present a negative phase of the East Asia-Pacific pattern teleconnection in the subsequent summer. This circulation pattern is beneficial for the water vapor transport from the western Pacific to inland,which further transport to the North China-Hetao region from the Yangtze River-Yellow Rivers region.Anomalous upward motion occurs in the North China-Hetao region, which increases precipitation. The East Asian subtropical westerly jet shifts further north and the South Asian high weakens and shrinks westward.These conditions all favor an increase in precipitation over the North China-Hetao region. The spring TPT plays an important part in the prediction of summer precipitation in the North China-Hetao region. The improvement in the use of the spring TPT to predict summer precipitation in the North China-Hetao region is examined by comparing the prediction equations with and without the prediction factor of the spring TPT on the basis of the sea surface temperatures in key regions. After considering the impact of the spring TPT, the explanatory variance of the prediction equation for precipitation in the North China-Hetao region increases by 17.3%. (Chen Dan, Nan Sulan, Liu Ge)
集合預(yù)報(bào)在數(shù)值天氣預(yù)報(bào)體系中具有重要地位,因此如何有效提取集合樣本信息以提高集合預(yù)報(bào)技巧一直是一個(gè)重要課題?;谥袊?guó)全球集合預(yù)報(bào)業(yè)務(wù)系統(tǒng)(GRAPES-GEPS)的500 hPa高度場(chǎng)集合資料開(kāi)展對(duì)環(huán)流集合預(yù)報(bào)的分類(lèi)釋用方法研究,并對(duì)集合聚類(lèi)預(yù)報(bào)結(jié)果進(jìn)行了檢驗(yàn)分析。通過(guò)在傳統(tǒng)Ward聚類(lèi)法中引入動(dòng)態(tài)聚類(lèi)的“手肘法”方案,發(fā)展了環(huán)流集合預(yù)報(bào)分類(lèi)釋用方法。針對(duì)該方法的個(gè)例分析表明,對(duì)于中國(guó)中東部地區(qū)環(huán)流集合預(yù)報(bào)的聚類(lèi)釋用方法能夠有效地劃分出最有可能發(fā)生的環(huán)流形勢(shì)類(lèi)型并提供發(fā)生概率。確定性預(yù)報(bào)綜合檢驗(yàn)結(jié)果顯示,集合預(yù)報(bào)聚類(lèi)結(jié)果中發(fā)生概率最高的集合大類(lèi)相對(duì)于集合平均的預(yù)報(bào)技巧有明顯提升,并隨著預(yù)報(bào)時(shí)效的延長(zhǎng)提升更明顯??傮w來(lái)看,通過(guò)集合預(yù)報(bào)的分類(lèi)釋用方法劃分環(huán)流形勢(shì)類(lèi)型可以為天氣預(yù)報(bào)提供參考依據(jù),具有實(shí)際應(yīng)用價(jià)值。(羅月琳,高麗,陳權(quán)亮,蔡宏珂,任宏利)
中國(guó)江南地區(qū)是高溫?zé)崂藶?zāi)害的高影響區(qū)。以往的一些研究發(fā)現(xiàn)了不同海域海溫異常在年際或年代際尺度上的變化對(duì)中國(guó)南方夏季平均溫度異常的影響效應(yīng)。但是,關(guān)于這些關(guān)鍵海域海溫季節(jié)內(nèi)尺度變化對(duì)江南地區(qū)高溫事件發(fā)生和維持影響的研究尚不多見(jiàn)。為此,本文利用中國(guó)站點(diǎn)觀測(cè)、美國(guó)氣象環(huán)境預(yù)報(bào)中心和美國(guó)國(guó)家大 氣研究中心(NCEP/NCAR)再分析以及美國(guó)國(guó)家海洋大氣管理局(NOAA)海溫等資料,首先以 2016 年江南地區(qū)夏季 2 次高溫事件為例(分別發(fā)生在7 月21—31日和8月15—25日),重點(diǎn)探討了熱帶大西洋海溫季節(jié)內(nèi)變化的可能貢獻(xiàn)。在此基礎(chǔ)上,基于1981—2016年多高溫事件合成結(jié)果,進(jìn)一步分析了熱帶大西洋海溫季節(jié)內(nèi)變化影響江南高溫事件的可能鏈接過(guò)程。研究發(fā)現(xiàn),熱帶西大西洋暖海溫異常在季節(jié)內(nèi)尺度上的發(fā)展與維持有利于在歐亞大陸激發(fā)出較為穩(wěn)定的Rossby波列結(jié)構(gòu),使東亞及其沿海地區(qū)為深厚的高壓系統(tǒng)控制,進(jìn)而引發(fā)江南地區(qū)持續(xù)性高溫事件。這種熱帶大西洋暖海溫的階段性增強(qiáng)與維持及其相應(yīng)的穩(wěn)定Rossby波列結(jié)構(gòu)超前于持續(xù)性高溫事件:在熱帶大西洋海溫顯著升高1個(gè)月之內(nèi),江南地區(qū)可能出現(xiàn)持續(xù)性高溫事件。在季節(jié)內(nèi)尺度上,熱帶大西洋顯著暖海溫異常出現(xiàn)明顯的階段性增強(qiáng)之后10天左右,北印度洋暖海溫也出現(xiàn)了階段性增強(qiáng)。這暗示熱帶大西洋熱力異常除通過(guò)直接激發(fā)歐亞大陸 Rossby 波列之外,還有可能通過(guò)影響熱帶印度洋海溫的階段性異常,進(jìn)而對(duì)江南地區(qū)高溫事件的發(fā)生和維持產(chǎn)生一定影響。另外,在厄爾尼諾衰減并向拉尼娜轉(zhuǎn)變階段,熱帶中東太平洋冷海溫異常和北印度洋暖海溫異常在季節(jié)內(nèi)的協(xié)同階段性變化可能也對(duì)持續(xù)性高溫事件有貢獻(xiàn)。上述關(guān)鍵區(qū)海溫的季節(jié)內(nèi)變化對(duì)中國(guó)江南地區(qū)高溫事件具有一定的前期指示意義,但它們的具體影響過(guò)程,特別是在季節(jié)內(nèi)尺度上的協(xié)同影響效應(yīng)和物理過(guò)程,尚需未來(lái)進(jìn)一步研究。(王慧美, 劉舸, 彭京備, 紀(jì)立人)
采用中尺度氣象模式WRFv3.8.1和GSI同化系統(tǒng),建立了一套循環(huán)同化系統(tǒng),開(kāi)展了一個(gè)月的地面觀測(cè)資料、探空資料、雷達(dá)資料和衛(wèi)星資料的同化試驗(yàn)。在試驗(yàn)結(jié)果基礎(chǔ)上,針對(duì)我國(guó)西部地區(qū)復(fù)雜地形,根據(jù)模式地形高度與實(shí)際測(cè)站地形高度的差異對(duì)地面觀測(cè)資料進(jìn)行訂正,以2016年6月30日至7月6日長(zhǎng)江中下游地區(qū)一次暴雨天氣過(guò)程為例開(kāi)展了數(shù)值模擬試驗(yàn),并對(duì)比分析地面觀測(cè)資料的高度訂正及同化對(duì)我國(guó)東部暴雨數(shù)值模擬的可能影響。模擬結(jié)果表明:(1)批量循環(huán)同化試驗(yàn)?zāi)M的地面變量較ERA-Interim再分析資料的均方根誤差普遍減小,對(duì)地面氣象要素的模擬有一定的改善。(2)地面觀測(cè)資料經(jīng)地形差異訂正后同化到模式中,模擬的降雨落區(qū)和量級(jí)與觀測(cè)雨帶更為接近,TS評(píng)分、散度和垂直速度方面都有一定的改進(jìn),表明西部地區(qū)地面觀測(cè)資料經(jīng)地形高度訂正后再同化到數(shù)值模式中能改進(jìn)數(shù)值模式對(duì)我國(guó)東部暴雨的模擬效果。(曹潤(rùn)東,陳軍明,趙平)
中國(guó)氣象科學(xué)研究院年報(bào)2021年0期