| Weather and Climate |
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| Simulation of Land Surface Water and Energy Budget from 1960 to 2004 in Xinjiang, China
Part Ⅰ: Development of forcing data set with observational meteorological data |
| LIU Bo1,2, MA Zhu-guo2, FENG Jin-ming2 |
1.National Climate Center, Beijing 100081, China;
2.Key Laboratory of Regional Climate-Environment Research for East Asia, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China |
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Abstract Large-scale, long-term historical data sets of land surface water and energy fluxes can help us understand global and regional environmental system and interactions with human activities, especially climate change in the distant future. In the past two decades, the climate change in northwest China, especially in Xinjiang was characterized by increasing precipitation, rising air temperature, melting glacier, increasing runoff, enlarging lake area, etc, which illuminated that there were significant changes in the climatic and hydrological processes, but the lack of long-term and large-scale historical records of the land surface water and energy budgets made us not be sure about the characteristics of water and energy process. Modeling can provide consistent fields of land surface fluxes and states. In this paper we describes the construction process of 3-hour, 0.5°×0.5° resolution forcing dataset of 45-year meteorological data for whole Xinjiang that can be used to drive land surface models. The data sets include precipitation, air temperature, wind speed, specific humidity, air pressure and surface downward solar radiation. The final product can provide a long-term, consistent dataset of near-surface meteorological variables that can be used to drive terrestrial hydrological and ecological process models and lay a foundation for the study of monthly, seasonal, annual and decadal changes of water and energy processes and for the evaluation of coupled models and other land surface prediction schemes.
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Received: 02 June 2011
Published: 20 March 2012
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Cite this article:
LIU Bo, MA Zhu-guo, FENG Jin-ming. Simulation of Land Surface Water and Energy Budget from 1960 to 2004 in Xinjiang, China
Part Ⅰ: Development of forcing data set with observational meteorological data. JOURNAL OF DESERT RESEARCH, 2012, 32(2): 491-502.
URL:
http://www.desert.ac.cn/EN/ OR http://www.desert.ac.cn/EN/Y2012/V32/I2/491
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| [1]施雅风,沈永平,胡汝骥.西北气候由暖干向暖湿转型的信号、影响和前景初步探讨[J].冰川冻土,2002,24（3）:219-226.[2]施雅风,沈永平,李栋梁,等.中国西北气候由暖干向暖湿转型的特征和趋势探讨[J].第四纪研究,2003,23（2）:152-163.[3]宋连春,张存杰.20世纪西北地区降水量变化特征[J].冰川冻土,2003,25(2):143-148.[4]韦志刚,董文杰,惠小英.中国西北地区降水的演变趋势和年际变化[J].气象学报,2000,58（2）:234-243.[5]南庆红,杨舵,杨青.应用EOF方法分析新疆降水变化特征[J].中国沙漠,2003,23（5）:554-559.[6]王澄海,王式功,杨德保,等.西北春季降水的基本和异常特征[J].兰州大学学报（自然科学版）,2001,37（3）:104-111.[7]商子毅,张建新,廖飞佳,等.新疆中天山北坡40 a夏季降水量变化[J].中国沙漠,2003,23（5）:581-585.[8]薛燕,韩萍,冯国华.半个世纪以来新疆降水和气温的变化趋势[J].干旱区地理,2003,20（2）:127-130.[9]韩萍,薛燕,苏宏超.新疆降水在气候转型中的信号反应[J].冰川冻土,2003,25（2）:179-182.[10]魏锋,丁裕国,杨金虎,等.中国西北地区雨季降水与500 hPa高度场的SVD分析[J].干旱气象,2005,23（4）:17-23.[11]袁玉江,穆桂金.新疆天山山区近40年春季气候变化特征与平原区的比较[J].干旱区地理,2004,27(1):35-39.[12]于淑秋,林学椿,徐祥德.我国西北地区近50年降水和温度的变化[J].气候与环境研究,2003,8（1）:9-18[13]徐贵青,魏文寿.新疆气候变化及其对生态环境的影响[J].干旱区地理,2004,27(1):14-18.[14]蓝永超,康尔泗,金会军,等.黑河出山径流量年际变化特征和趋势研究[J].冰川冻土,1999,21（1）:19-53.[15]蓝永超,康尔泗,悟彦卿,等.气候变化对河西内陆干旱区出山径流的影响[J].冰川冻土,2001,23（3）,273-282.[16]叶柏生,丁永建,杨大庆,等.近50 a西北地区年径流变化反映的区域气候差异[J].冰川冻土,2006,28（3）:307-311.[17]吴素芬.新疆河流径流量三十余年来的变化[J].干旱区地理,1995,18（2）:36-41.[18]李忠勤,韩添丁,井哲帆,等,乌鲁木齐河源区气候变化和1号冰川40 a观测事实[J].冰川冻土,2003,25（2）:117-123.[19]辛渝,毛炜峄,李元鹏,等.新疆不同季节降水气候分区及变化趋势[J].中国沙漠,2009,29(5):948-959.[20]张广兴,赵玲,孙淑芳.新疆1961—2000年高空温度变化的若干事实及突变分析[J].中国沙漠,2008,28(5):908-914.[21]崔彩霞,李扬,杨青.新疆夜雨和昼雨的空间分布和长期变化[J].中国沙漠,2008,28(5):903-907.[22]王芳芳,吴世新,杨函.基于3S的近15 a新疆LUCC时空变化研究及分析[J].中国沙漠,2009,29(4):636-640.[23]张燕,徐建华,吕光辉.西北干旱区新疆水资源足迹及利用效率动态评估[J].中国沙漠,2008,28(4):915-919.[24]李红军,李军,何清.新疆沙尘暴的趋势和突变研究[J].中国沙漠,2008,28(5):775-780.[25]Thornthwaite C W.An approach toward a rational classification of climate[J].Geographical Review,1948,38:55-94.[26]Allen R G,Pereira L S,Raes D,et al.Crop evapotranspiration-guidelines for computing crop water requirements[R].FAO Irrigation and Drainage Paper 56.FAO,Rome,1998.[27]Brutsaert W,Parlange M B.Hydrologic cycle explains the evaporation paradox[J].Nature,1998,396:30.[28]Lawrimore J H,Peterson T C.Pan evaporation trends in dry and humid regions of the United States[J].Journal of Hydrometeorology,2000,1:543-546.[29]Golubev V S,Lawrimore J H,Groisman P Y,et al.Evaporation changes over the contiguous United States and the former USSR:A reassessment[J].Geophysical Research Letters,2001,28(13):2665-2668.[30]Walter M T,Wilks D S,Parlange J Y,et al.Increasing evapotranspiration from the conterminous United States[J].Journal of Hydrometeorology,2004,5,405-408.[31]Roderick M L,Farquhar G D.The cause of decreased pan evaporation over the past 50 years[J].Science,2002,298:1410-1411.[32]Sheffield J,Goteti G,Wood E F.Development of a 50-year high-resolution global dataset of meteorological forcings for land surface modeling[J].Journal of Climate,2006,19(13):3088-3111.[33]Qian T T,Dai A G,Trenberth K E,et al.Simulation of global land surface conditions from 1948-2004.Part I:Forcing data and evaluation[J].Journal of Hydrometeorology,2006,7:953-975.[34]Lau K-M,Mehta V M,Sud Y C,et al.Climatology and natural variability of the global hydrologic cycle in the GLA atmospheric general circulation model[J].Journal of Geophysical Research,1994,99 (D1):1329-1345.[35]Liang X,Lettenmaier D P,Wood E F,et al.A simple hydrologically based model of land surface water and energy fluxes for general circulation models[J].Journal of Geophysical Research,1994,99(D7):14415-14428.[36]Levis S,Coe M T,Foley J A.Hydrologic budget of a land surface model: A global application[J].Journal of Geophysical Research,1996,101 (D12):16921-16930.[37]Roads J,Lawford R,Bainto E,et al.GCIP water and energy budget synthesis (WEBS)[J].Journal of Geophysical Research,2003,108(D16).[38]Mitchell K E,Lohmann D,Houser P R,et al.The multi-institution North American Land Data Assimilation System (NLDAS) project:Utilizing multiple GCIP products and partners in a continental distributed hydrological modeling system[J].Journal of Geophysical Research,2004,109(D7):1-32.[39]Rodell,M Houser P R,Jambor U,et al.The Global Land Data Assimilation System[J].Bulletin of the American Meteorological Society,2004,85:381-394.[40]Nijssen B,Schnur R,Lettenmaier D P.Global retrospective estimation of soil moisture using the Variable Infiltration Capacity land surface model,1980-1993[J].Journal of Climate,2001,14:1790-1808.[41]Maurer E P,Wood A W,Adam J C,et al.A Long-Term Hydrological Based Dataset of Land Surface Flux and states for the Conterminous United States[J].Journal of Climate,2002,15:3237-3251.[42]Berg A A,Famiglietti J S,Walker J P,et al.Impact of bias correction to reanalysis products on simulations of North American soil moisture and hydrological fluxes[J].Journal of Geophysical Research,2003,108(D16):4490.[43]Fekete B M,Vrsmarty C J,Roads J O,et al.Uncertainties in precipitation and their impacts on runoff estimates[J].Journal of Climate,2004,17:294-304.[44]Sheffield J,Ziegler A D,Wood E F,et al.Correction of the high-latitude rain day anomaly in the NCEP-NCAR reanalysis for land surface hydrological modeling[J].Journal of Climate,2004,17:3814-3828.[45]Hall F G,Collatz G,Los S,et al.ISLSCP Initiative II[Z].NASA,2005,DVD/CD-ROM.[46]Dirmeyer P A,Gao X,Zhao M,et al.The Second Global Soil Wetness Project (GSWP-2):Multi-model analysis and implications for our perception of the land surface[R].COLA Technical Report,2005,number 185.[47]杨大庆,姜彤,张寅生,等.天山乌鲁木齐河源降水观测误差分析及其改正[J].冰川冻土,1988,10（4）:384-400. |
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2012, Vol. 32 
