氣候變化研究進(jìn)展 ?? 2022, Vol. 18 ?? Issue (6): 683-694.doi: 10.12006/j.issn.1673-1719.2021.281
收稿日期:
2021-12-27
修回日期:
2022-02-18
出版日期:
2022-11-30
發(fā)布日期:
2022-06-06
通訊作者:
胡永云
作者簡(jiǎn)介:
張?jiān)婂┦浚?email>zhangsy2020@pku.edu.cn
基金資助:
ZHANG Shi-Yan(), HU Yong-Yun(), LI Zhi-Bo
Received:
2021-12-27
Revised:
2022-02-18
Online:
2022-11-30
Published:
2022-06-06
Contact:
HU Yong-Yun
摘要:
利用觀測(cè)資料、GPCC再分析資料和第六次耦合模式比較計(jì)劃(CMIP6)模擬結(jié)果,研究了我國(guó)西北地區(qū)近幾十年及未來(lái)降水變化趨勢(shì)。結(jié)果表明,1979—2019年我國(guó)西北干旱半干旱區(qū)降水在全年各季節(jié)均有顯著增加,其中秋季增加最多。CMIP6模擬結(jié)果顯示,隨著全球變暖,我國(guó)西北地區(qū)降水在2015—2100年將繼續(xù)增加。至21世紀(jì)末,在SSP2-4.5和SSP5-8.5情景下,我國(guó)西北地區(qū)年平均降水量將分別增加約13.7%(37 mm)和25.8%(78 mm),其中降水量增加最多的季節(jié)分別為夏季和春季。考慮到西北地區(qū)蒸發(fā)量也將隨全球變暖而增加,模式平均的結(jié)果顯示西北地區(qū)年平均凈降水量在兩種情景下的增幅分別約1.4%和4.9%,表明我國(guó)西北地區(qū)未來(lái)氣候呈現(xiàn)顯著的變濕趨勢(shì)。進(jìn)一步分析表明,西北地區(qū)未來(lái)降水增加可能與局地大氣低層位勢(shì)高度降低和上升運(yùn)動(dòng)加強(qiáng)有關(guān)。
張?jiān)婂? 胡永云, 李智博. 我國(guó)西北降水變化趨勢(shì)和預(yù)估[J]. 氣候變化研究進(jìn)展, 2022, 18(6): 683-694.
ZHANG Shi-Yan, HU Yong-Yun, LI Zhi-Bo. Recent changes and future projection of precipitation in Northwest China[J]. Climate Change Research, 2022, 18(6): 683-694.
圖1 1979—2019年GPCC再分析資料和我國(guó)臺(tái)站觀測(cè)資料中年降水量(a,b)氣候平均態(tài)和(c,d)變化趨勢(shì) 注:圖(c)中打點(diǎn)區(qū)域和圖(d)中實(shí)心圓表示降水變化通過(guò)95%的信度檢驗(yàn),下同。
Fig. 1 Climatological annual mean precipitation (a, b) and precipitation trends (c, d) over 1979-2019. (Regions with dots in plot (c) and solid circles in plot (d) indicate that precipitation changes are statistically significant at the 95% confidence level, with the Student t-test, the same below)
圖2 1979—2019年西北地區(qū)月降水量變化趨勢(shì) 注:*表示降水變化趨勢(shì)通過(guò)了95%的信度檢驗(yàn)。
Fig. 2 Trends in monthly mean precipitation in Northwest China over 1979-2019. (Asterisks indicate that the trends are statistically significant at the 95% confidence level)
圖3 CMIP6模擬的1979—2014年年降水量(a)、變化趨勢(shì)(c)及分別與GPCC資料結(jié)果的偏差(b, d)
Fig. 3 Climatological annual mean precipitation (a) and precipitation trends (c) over 1979-2014 in CMIP6 historical simulations, as well as their differences (b, d) from GPCC
圖4 觀測(cè)和模擬的1979—2100年我國(guó)西北地區(qū)季節(jié)平均降水變化量時(shí)間序列 注:降水變化量為減去起始5年(1979—1983年)的平均降水量;灰色、黃色和紅色陰影分別表示歷史模擬、SSP2-4.5和SSP5-8.5情景下試驗(yàn)的模式間離散度。
Fig. 4 Time series of seasonal mean precipitation anomalies in Northwest China over 1979-2100. (Precipitation anomalies are calculated by subtracting the mean precipitation of the first 5 years (1979-1983) of the time series. Gray, yellow and red shadings indicate the inter-model spreads of precipitation in the historical, SSP2-4.5 and SSP5-8.5 simulations, respectively)
圖5 CMIP6預(yù)估的2015—2100年我國(guó)年平均降水量(a,b)、蒸發(fā)量(c,d)和凈降水量(e,f)變化趨勢(shì)百分比
Fig. 5 CMIP6 projected percentage of annual mean precipitation (a, b), evaporation (c, d) and net precipitation (e, f) changes in China over 2015-2100
圖6 CMIP6的 25個(gè)模式預(yù)估的2015—2100年西北地區(qū)平均年降水量、蒸發(fā)量和凈降水量變化趨勢(shì)百分比 注:×表示模式集合平均值。圓圈表示單個(gè)模式的結(jié)果,其中實(shí)心圓表示趨勢(shì)通過(guò)95%信度檢驗(yàn)。
Fig. 6 CMIP6 projected percentage of annual mean precipitation, evaporation and net precipitation changes in Northwest China over 2015-2100. (× denotes the ensemble mean. Circles denote results of individual models)
圖7 CMIP6預(yù)估的2015—2100年SSP2-4.5情景(a)和SSP5-8.5情景(b)下我國(guó)年平均近地面土壤濕度變化趨勢(shì)百分比
Fig. 7 Projected percentage of trends in annual mean near surface soil moisture in China by CMIP6 for SSP2-4.5 (a) and SSP5-8.5 (b)
圖8 2015—2100年SSP2-4.5 (a)和SSP5-8.5情景(b)下西北地區(qū)降水量回歸的700 hPa位勢(shì)高度緯向距平變化趨勢(shì) 注:等值線表示模式模擬的700 hPa位勢(shì)高度氣候平均場(chǎng)的緯向距平(減去緯向平均),等值線間隔為10 m。填充色表示位勢(shì)高度的變化趨勢(shì),打點(diǎn)區(qū)域表示位勢(shì)高度的變化趨勢(shì)通過(guò)95%信度檢驗(yàn)。
Fig. 8 Trends of annual mean 700 hPa geopotential heights over 2015-2100 regressed against the precipitation in Northwest China for SSP2-4.5 (a) and SSP5-8.5 (b). (Contours indicate climatological zonal anomalies of geopotential heights, and contour intervals are 10 m. Color shading indicates trends in geopotential heights)
圖9 2015—2100年SSP2-4.5 (a)和SSP5-8.5 (b)情景下西北地區(qū)降水量回歸的700 hPa大氣垂直速度變化趨勢(shì) 注:等值線表示模式模擬的700 hPa垂直速度氣候平均場(chǎng)(正值表示下沉運(yùn)動(dòng),負(fù)值表示上升運(yùn)動(dòng),等值線間隔為10-3 Pa/s)。填充色表示垂直速度的變化趨勢(shì)。
Fig. 9 Trends of annual mean 700 hPa vertical velocity over 2015-2100 regressed against the precipitation in Northwest China for SSP2-4.5 (a) and SSP5-8.5 (b). (Contours indicate climatological vertical velocity, and contour intervals are 10-3 Pa/s. Color shading indicates trends in vertical velocity)
[1] | 施雅風(fēng), 沈永平, 胡汝驥. 西北氣候由暖干向暖濕轉(zhuǎn)型的信號(hào)、影響和前景初步探討[J]. 冰川凍土, 2002, 24 (3): 219-226. |
Shi Y F, Shen Y P, Hu R J. Preliminary study on signal, impact and foreground of climatic shift from warm-dry to warm-humid in Northwest China[J]. Journal of Glaciology and Geocryology, 2002, 24 (3): 219-226 (in Chinese) | |
[2] | Chen Y N, Xu Z X. Plausible impact of global climate change on water resources in the Tarim River basin[J]. Science in China (Series D: Earth Sciences), 2005, 48 (1): 65-73 |
[3] | 楊曉丹, 翟盤(pán)茂. 我國(guó)西北地區(qū)降水強(qiáng)度、頻率和總量變化[J]. 科技導(dǎo)報(bào), 2005, 23 (6): 24-26. |
Yang X D, Zhai P M. Changes in precipitation intensity, frequency and total in Northwest China[J]. Science & Technology Review, 2005, 23 (6): 24-26 (in Chinese) | |
[4] | 李棟梁, 魏麗, 蔡英, 等. 中國(guó)西北現(xiàn)代氣候變化事實(shí)與未來(lái)趨勢(shì)展望[J]. 冰川凍土, 2003, 25 (2): 135-142. |
Li D L, Wei L, Cai Y, et al. The present facts and the future tendency of the climate change in Northwest China[J]. Journal of Glaciology and Geocryology, 2003, 25 (2): 135-142 (in Chinese) | |
[5] | Li B F, Chen Y N, Xun S, et al. Temperature and precipitation changes in different environments in the arid region of Northwest China[J]. Theoretical & Applied Climatology, 2013, 112 (3-4): 589-596 |
[6] | 陳冬冬, 戴永久. 近五十年我國(guó)西北地區(qū)降水強(qiáng)度變化特征[J]. 大氣科學(xué), 2009, 33 (5): 923-935. |
Chen D D, Dai Y J. Characteristics of Northwest China rainfall intensity in recent 50 years[J]. Chinese Journal of Atmospheric Sciences, 2009, 33 (5): 923-935 (in Chinese) | |
[7] |
Wang H J, Chen Y N, Chen Z S. Spatial distribution and temporal trends of mean precipitation and extremes in the arid region, northwest of China, during 1960-2010[J]. Hydrological Processes, 2013, 27 (12): 1807-1818
doi: 10.1002/hyp.9339 URL |
[8] | Deng H J, Chen Y N, Xun S, et al. Dynamics of temperature and precipitation extremes and their spatial variation in the arid region of Northwest China[J]. Atmospheric Research, 2014 (138): 346-355 |
[9] | 王鵬翔, 何金海, 鄭有飛, 等. 近44年來(lái)我國(guó)西北地區(qū)干濕特征分析[J]. 應(yīng)用氣象學(xué)報(bào), 2007, 18 (6): 769-775. |
Wang P X, He J H, Zheng Y F, et al. Aridity-wetness characteristics over Northwest China in recent 44 years[J]. Journal of Applied Meteorological Science, 2007, 18 (6): 769-775 (in Chinese) | |
[10] | 中國(guó)氣象局. 中國(guó)氣候公報(bào)[M]. 北京: 氣象出版社, 2017. |
China Meteorological Administration. China climate bulletin[M]. Beijing: China Meteorological Press, 2017 (in Chinese) | |
[11] | 中國(guó)氣象局. 中國(guó)氣候公報(bào)[M]. 北京: 氣象出版社, 2018. |
China Meteorological Administration. China climate bulletin[M]. Beijing: China Meteorological Press, 2018 (in Chinese) | |
[12] | 中國(guó)氣象局. 中國(guó)氣候公報(bào)[M]. 北京: 氣象出版社, 2019. |
China Meteorological Administration. China climate bulletin[M]. Beijing: China Meteorological Press, 2019 (in Chinese) | |
[13] | 中國(guó)氣象局. 中國(guó)氣候公報(bào)[M]. 北京: 氣象出版社, 2020. |
China Meteorological Administration. China climate bulletin[M]. Beijing: China Meteorological Press, 2020 (in Chinese) | |
[14] | 張強(qiáng), 張存杰, 白虎志, 等. 西北地區(qū)氣候變化新動(dòng)態(tài)及對(duì)干旱環(huán)境的影響[J]. 干旱氣象, 2010, 28 (1): 1-7. |
Zhang Q, Zhang C J, Bai H Z, et al. New development of climate change in Northwest China and its impact on arid environment[J]. Journal of Arid Meteorology, 2010, 28 (1): 1-7 (in Chinese) | |
[15] | 楊金虎, 江志紅, 劉曉蕓, 等. 近半個(gè)世紀(jì)中國(guó)西北干濕演變及持續(xù)性特征分析[J]. 干旱區(qū)地理, 2012, 35 (1): 10-22. |
Yang J H, Jiang Z H, Liu X Y, et al. Influence research on spring vegetation of Eurasia to summer drought-wetness over the Northwest China[J]. Arid Land Geography, 2012, 35 (1): 10-22 (in Chinese) | |
[16] |
Chen H P, Sun J Q. How the “best” models project the future precipitation change in China[J]. Advances in Atmospheric Sciences, 2009, 26 (4): 773-782
doi: 10.1007/s00376-009-8211-7 URL |
[17] |
Feng L, Zhou T J, Wu B, et al. Projection of future precipitation change over China with a high-resolution global atmospheric model[J]. Advances in Atmospheric Sciences, 2011, 28 (2): 464-476
doi: 10.1007/s00376-010-0016-1 URL |
[18] |
Guo J H, Huang G H, Wang X Q, et al. Investigating future precipitation changes over China through a high-resolution regional climate model ensemble: future precipitation changes over China[J]. Earth’s Future, 2017, 5 (4): 285-303
doi: 10.1002/2016EF000433 URL |
[19] | 陳活潑. CMIP5模式對(duì)21世紀(jì)末中國(guó)極端降水事件變化的預(yù)估[J]. 科學(xué)通報(bào), 2013, 58 (8): 743-752. |
Chen H P. Projected change in extreme rainfall events in China by the end of the 21st century using CMIP5 models[J]. Chinese Science Bulletin, 2013, 58 (8): 743-752 (in Chinese) | |
[20] |
Wang Y J, Zhou B T, Qin D H, et al. Changes in mean and extreme temperature and precipitation over the arid region of northwestern China: observation and projection[J]. Advances in Atmospheric Sciences, 2017, 34 (3): 289-305
doi: 10.1007/s00376-016-6160-5 URL |
[21] | IPCC. Climate change 2014: synthesis report[M]. Cambridge: Cambridge University Press, 2014: 151 |
[22] | Zhang R H, Tian W S, He X, et al. Enhanced influence of ENSO on winter precipitation over southern China in recent decades[J]. Journal of Climate, 2021, 34 (19): 7983-7994 |
[23] |
Zhang R H, Zhang S Y, Luo J L, et al. Analysis of near-surface wind speed change in China during 1958-2015[J]. Theoretical and Applied Climatology, 2019, 137 (3): 2785-2801
doi: 10.1007/s00704-019-02769-0 URL |
[24] | Eischeid J K, Pasteris P A, Diaz H F, et al. Creating a serially complete, national daily time series of temperature and precipitation for the western United States[J]. Journal of Applied Meteorology and Climatology, 2000, 39 (9): 1580-1591 |
[25] | Alexandersson H. A homogeneity test applied to precipitation data[J]. International Journal of Climatology, 1986 (6): 661-675 |
[26] | 何冬燕, 田紅, 鄧偉濤. 多種方法在年平均風(fēng)速均一性檢驗(yàn)中的效果對(duì)比分析[J]. 大氣科學(xué)學(xué)報(bào), 2012, 3: 342-349. |
He D Y, Tian H, Deng W T. Comparative analysis of the effects of different methods in homogeneity test on annual mean wind speed[J]. Transactions of Atmospheric Science, 2012, 3: 342-349 (in Chinese) | |
[27] |
Wang X L, Wen Q Z, Wu Y H. Penalized maximal t test for detecting undocumented mean change in climate data series[J]. Journal of Applied Meteorology and Climatology, 2007, 46 (6): 916-931
doi: 10.1175/JAM2504.1 URL |
[28] |
Buishand T A. Some methods for testing the homogeneity of rainfall records[J]. Journal of Hydrology, 1982, 58 (1): 11-27
doi: 10.1016/0022-1694(82)90066-X URL |
[29] |
Wijngaard J B, Klein Tank A M G, Konnen G P. Homogeneity of 20th century European daily temperature and precipitation series[J]. International Journal of Climatology, 2003, 23 (6): 679-692
doi: 10.1002/joc.906 URL |
[30] | Schneider U, Andreas B, Pete F, et al. GPCC full data reanalysis version 6.0 at 1.0°: monthly land-surface precipitation from Rain-Gauges built on GTS-based and historic data[EB/OL]. 2011 [2021-12-27]. https://psl.noaa.gov/data/gridded/data.gpcc.html |
[31] | Eyring V, Bony S, Meehl G A, et al. Overview of the Coupled Model Intercomparison Project Phase 6 (CMIP6) experimental design and organization[J]. Geoscientific Model Development Discussions, 2015, 8 (12): 10539-10583 |
[32] | IPCC. Climate change 2021: the physical science basis[M]. Cambridge: Cambridge University Press, 2021 |
[33] |
Zhou L T, Wu R G. Interdecadal variability of winter precipitation in Northwest China and its association with the North Atlantic SST change[J]. International Journal of Climatology, 2015, 35: 1172-1179
doi: 10.1002/joc.4047 URL |
[34] |
Chen G S, Huang R H. Excitation mechanisms of the teleconnection patterns affecting the July precipitation in Northwest China[J]. Journal of Climate, 2012, 25 (22): 7834-7851
doi: 10.1175/JCLI-D-11-00684.1 URL |
[35] | 馮蕾, 周天軍. 高分辨率MRI模式對(duì)青藏高原夏季降水及水汽輸送通量的模擬[J]. 大氣科學(xué), 2015, 39 (2): 386-398. |
Feng L, Zhou T J. Simulation of summer precipitation and associated water vapor transport over the Tibetan Plateau by meteorological research institute model[J]. Chinese Journal of Atmospheric Sciences, 2015, 39 (2): 386-398 (in Chinese) | |
[36] | 徐蓉蓉, 梁信忠, 段明鏗. CWRF對(duì)青藏高原氣溫和降水模擬效果的綜合評(píng)估[J]. 大氣科學(xué)學(xué)報(bào), 2021, 44 (1): 104-117. |
Xu R R, Liang X Z, Duan M J. Evaluation of CWRF simulation of temperature and precipitation on the Qinghai-Tibet Plateau[J]. Transactions of Atmospheric Science, 2021, 44 (1): 104-117 (in Chinese) | |
[37] |
Li M X, Wu P L, Ma Z G. A comprehensive evaluation of soil moisture and soil temperature from third-generation atmospheric and land reanalysis data sets[J]. International Journal of Climatology, 2020, 40 (13): 5744-5766
doi: 10.1002/joc.6549 URL |
[38] |
Li M X, Ma Z G, Gu H P, et al. Production of a combined land surface data set and its use to assess land-atmosphere coupling in China[J]. Journal of Geophysical Research: Atmospheres, 2017, 122 (2): 948-965
doi: 10.1002/2016JD025511 URL |
[39] |
Li B F, Chen Y N, Chen Z S, et al. Why does precipitation in Northwest China show a significant increasing trend from 1960 to 2010?[J]. Atmospheric Research, 2016, 167: 275-284
doi: 10.1016/j.atmosres.2015.08.017 URL |
[40] |
Jiang J, Zhou T J, Chen X L, et al. Central Asian precipitation shaped by the tropical Pacific decadal variability and the Atlantic multidecadal variability[J]. Journal of Climate, 2021, 34 (18): 7541-7553
doi: 10.1175/JCLI-D-20-0905.1 URL |
[41] |
Chen F H, Yu Z C, Yang M L, et al. Holocene moisture in arid central Asia and its out-of-phase relationship with Asian monsoon variability[J]. Quaternary Science Reviews, 2008, 27 (3): 351-364
doi: 10.1016/j.quascirev.2007.10.017 URL |
[42] |
Huang J P, Li Y, Fu C B, et al. Dryland climate change: recent progress and challenges[J]. Reviews of Geophysics, 2017, 55 (3): 719-778
doi: 10.1002/2016RG000550 URL |
[43] |
Peng D D, Zhou T J. Why was the arid and semiarid northwest China getting wetter in the recent decades?[J]. Journal of Geophysical Research: Atmospheres, 2017, 122 (17): 9060-9075
doi: 10.1002/2016JD026424 URL |
[44] | Jiang J, Zhou T J. Human-induced rainfall reduction in drought-prone northern Central Asia[J]. Geophysical Research Letters, 2021, 48 (7): 1-9 |
[45] | 任國(guó)玉, 袁玉江, 柳艷菊, 等. 我國(guó)西北干燥區(qū)降水變化規(guī)律[J]. 干旱區(qū)研究, 2016, 33 (1): 1-19. |
Ren G Y, Yuan Y J, Liu Y J, et al. Changes in precipitation over Northwest China[J]. Arid Zone Research, 2016, 33 (1): 1-19 (in Chinese) | |
[46] |
Xu D Z, Lin Y L. Impacts of irrigation and vegetation growth on summer rainfall in the Taklimakan desert[J]. Advances in Atmospheric Sciences, 2021, 38 (11): 1863-1872
doi: 10.1007/s00376-021-1042-x URL |
[47] | 許靖華. 太陽(yáng)、氣候、饑荒與民族大遷移[J]. 中國(guó)科學(xué): D輯, 1998, 28 (4): 366-384. |
Xu J H. Sun, climate, famine and national migration[J]. Sciences in China: Series D, 1998, 28 (4): 366-384 (in Chinese) | |
[48] |
Zhou T J, Li B, Man W M, et al. A comparison of the Medieval Warm Period, Little Ice Age and 20th century warming simulated by the FGOALS climate system model[J]. Chinese Science Bulletin, 2011, 56 (28): 3028-3041
doi: 10.1007/s11434-011-4641-6 URL |
[49] |
Wang S W, Zhou T J, Cai J N, et al. Abrupt climate change around 4 ka BP: role of the thermohaline circulation as indicated by a GCM experiment[J]. Advances in Atmospheric Sciences, 2004, 21 (2): 291-295
doi: 10.1007/BF02915716 URL |
[50] | 張潔, 周天軍, 滿文敏, 等. 氣候系統(tǒng)模式FGOALS_gl模擬的小冰期氣候[J]. 第四紀(jì)研究, 2009, 29 (6): 1125-1134. |
Zhang J, Zhou T J, Man W M, et al. The transient simulation of little ice age by LASG/IAP climate system model FGOALS_gl[J]. Quaternary Sciences, 2009, 29 (6): 1125-1134 (in Chinese) | |
[51] |
Zhai L X, Qi F. Spatial and temporal pattern of precipitation and drought in Gansu province, Northwest China[J]. Natural Hazards, 2009, 49 (1): 1-24
doi: 10.1007/s11069-008-9274-y URL |
[52] | Han L Y, Zhang Q, Zhang Z C, et al. Drought area, intensity and frequency changes in China under climate warming, 1961-2014[J]. Journal of Arid Environments, 2021, 193: 1-9 |
[53] |
Dai A G. Increasing drought under global warming in observations and models[J]. Nature Climate Change, 2013, 3: 52-58
doi: 10.1038/nclimate1633 URL |
[54] |
Wang Q, Zhai P M, Qin D H. New perspective on ‘warming-wetting’ trend in Xinjiang, China[J]. Advances in Climate Change Research, 2020, 11 (3): 252-260
doi: 10.1016/j.accre.2020.09.004 URL |
[1] | 戰(zhàn)云健, 陳東輝, 廖捷, 鞠曉慧, 趙煜飛, 任國(guó)玉. 中國(guó)60城市站1901—2019年日降水?dāng)?shù)據(jù)集的構(gòu)建[J]. 氣候變化研究進(jìn)展, 2022, 18(6): 670-682. |
[2] | 繆文飛, 劉時(shí)銀, 朱鈺, 段仕美, 韓豐澤. 梅里雪山地區(qū)氣溫和降水的時(shí)空分異及海拔效應(yīng)[J]. 氣候變化研究進(jìn)展, 2022, 18(3): 328-342. |
[3] | 葉天, 余錦華, 施欣池. 區(qū)域性極端驟發(fā)干旱與傳統(tǒng)干旱事件形成過(guò)程的對(duì)比[J]. 氣候變化研究進(jìn)展, 2022, 18(3): 319-327. |
[4] | 李瑩, 趙珊珊. 2001—2020年中國(guó)洪澇災(zāi)害損失與致災(zāi)危險(xiǎn)性研究[J]. 氣候變化研究進(jìn)展, 2022, 18(2): 154-165. |
[5] | 張歆然, 陳昊明. CMIP6模式對(duì)青藏高原東坡暖季降水的模擬評(píng)估[J]. 氣候變化研究進(jìn)展, 2022, 18(2): 129-141. |
[6] | 王霞, 王瑛, 林齊根, 李寧, 張馨仁, 周笑影. 氣候變化背景下中國(guó)滑坡災(zāi)害人口風(fēng)險(xiǎn)評(píng)估[J]. 氣候變化研究進(jìn)展, 2022, 18(2): 166-176. |
[7] | 孫晨, 汪方, 周月華, 李蘭. CWRF模式對(duì)長(zhǎng)江流域極端降水氣候事件的模擬能力評(píng)估[J]. 氣候變化研究進(jìn)展, 2022, 18(1): 44-57. |
[8] | 于飛, 崔惠娟, 葛全勝. “一帶一路”沿線國(guó)家的自主貢獻(xiàn)中水資源相關(guān)適應(yīng)措施評(píng)估[J]. 氣候變化研究進(jìn)展, 2022, 18(1): 70-80. |
[9] | 王倩之, 劉凱, 汪明. NEX-GDDP降尺度數(shù)據(jù)對(duì)中國(guó)極端降水指數(shù)模擬能力的評(píng)估[J]. 氣候變化研究進(jìn)展, 2022, 18(1): 31-43. |
[10] | 胡一陽(yáng), 徐影, 李金建, 韓振宇. CMIP6不同分辨率全球氣候模式對(duì)中國(guó)降水模擬能力評(píng)估[J]. 氣候變化研究進(jìn)展, 2021, 17(6): 730-743. |
[11] | 周天軍, 陳梓明, 陳曉龍, 左萌, 江潔, 胡帥. IPCC AR6報(bào)告解讀:未來(lái)的全球氣候——基于情景的預(yù)估和近期信息[J]. 氣候變化研究進(jìn)展, 2021, 17(6): 652-663. |
[12] | 陳燕, 惠品宏, 周學(xué)東, 楊杰. 氣候變化對(duì)城市年徑流總量控制率分區(qū)的影響[J]. 氣候變化研究進(jìn)展, 2021, 17(5): 525-536. |
[13] | 方佳毅, 殷杰, 石先武, 方建, 杜士強(qiáng), 劉敏. 沿海地區(qū)復(fù)合洪水危險(xiǎn)性研究進(jìn)展[J]. 氣候變化研究進(jìn)展, 2021, 17(3): 317-328. |
[14] | 池艷珍, 梁瀟云, 何芬, 吳偉杰, 唐振飛. BCC_CSM1.1m模式對(duì)福建前汛期降水預(yù)測(cè)的誤差訂正[J]. 氣候變化研究進(jìn)展, 2020, 16(6): 714-724. |
[15] | 賈洋, 崔鵬. 西藏冰湖潰決災(zāi)害事件極端氣候特征[J]. 氣候變化研究進(jìn)展, 2020, 16(4): 395-404. |
閱讀次數(shù) | ||||||
全文 |
|
|||||
摘要 |
|
|||||
|