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1.
格点降水资料在中国东部夏季降水变率研究中的适用性   总被引:3,自引:2,他引:1  
姜贵祥  孙旭光 《气象科学》2016,36(4):448-456
本文使用1951~2010年PREC、CRU、APHRO和GPCC 4种格点降水资料,通过比较其与中国756站点观测降水资料在中国东部(105°E以东)夏季降水变率中的差异,检验和评估了它们的可靠性和适用性。结果表明:中国东部夏季降水变率的前3个主要模态分别是以江淮流域、长江流域和华北与东北南部为核心的经向多中心分布,有明显的年际和年代际变率特征,且干旱特征较洪涝更明显;长江流域夏季降水异常的主周期为3~7 a和20~50 a,而江淮流域和华北地区夏季降水异常的主周期则为准2 a和准10 a。另外,长江与江淮流域和华南地区分别在1970s末和1990s初发生了显著的年代际转变;4种格点降水资料都能很好地再现中国东部夏季降水的时空变率特征,但由于GPCC格点降水资料是基于更多的基站观测和更精细复杂的质量控制方案得到的,因此它具有更高的可靠性。  相似文献   

2.
BCC_CSM1.0模式对20世纪降水及其变率的模拟   总被引:4,自引:0,他引:4       下载免费PDF全文
应用国家气候中心气候系统模式 (BCC_CSM1.0),在给定温室气体、太阳常数、硫酸盐气溶胶、火山灰等外强迫数据的条件下,对19世纪末到20世纪气候进行模拟。对降水模拟结果的检验表明:BCC_CSM1.0模式能够模拟出全球降水的基本气候状态、季节变化、季节内振荡、年际变化等特征。模拟结果显示:与CMAP及CRU观测分析资料相比基本一致,全球陆地降水在过去一个多世纪中存在上升趋势。同时,模式也存在不足和需要改进之处:模拟降水的时空分布与观测不一致;我国东部地区的雨带季节转变较观测偏快;主要雨带位置较观测偏西、偏北;夏季青藏高原东北侧有虚假的降水中心;热带季节内振荡较实际偏弱;降水年际变率较观测略大,主要发生在降水较明显的热带。BCC_CSM1.0模式模拟的全球陆地降水以及欧亚、亚洲、中国大陆 (中国东部、江南、华北等地区) 平均降水与近105年由观测所得的CRU资料基本一致,但多数地区比观测略偏低。模拟的全球陆地、中国东部、江南、华北等地区的降水趋势也与CRU资料一致;模拟的全球陆地降水在过去105年中有明显的上升趋势,与CRU资料相比,上升趋势更强,但在欧亚、亚洲、中国范围内模拟的降水趋势与观测有一定的差异。  相似文献   

3.
全球不同空间尺度陆地年降水的年代尺度变化特征   总被引:1,自引:0,他引:1  
徐保梁  杨庆  马柱国 《大气科学》2017,41(3):593-602
基于1951~2010年GPCC(Global Precipitation Climatology Centre)的逐月降水数据,利用集合经验模分解法(Ensemble Empirical Mode Decomposition,简称EEMD法)对全球、东西半球、五个大陆和四个典型干旱半干旱区等不同空间尺度年降水量的年代尺度特征进行了研究,区分了不同空间尺度上降水的年代际变化及其长期趋势。结果发现:(1)全球陆地平均降水既存在年代际的周期振荡,又存在长期变化的趋势,降水的年代际周期振荡的强度远大于降水的长期趋势,两者的共同作用使得全球陆地平均降水呈现以年代际周期振荡为主的特征。(2)在半球尺度,2000年以前,东、西半球具有明显相反的年代尺度变化特征,东半球变干(降水减少),西半球变湿(降水增加)。(3)1951~2010年,欧亚大陆和非洲大陆与北美、南美和澳洲大陆的年代际振荡和趋势存在着一个近似反位相的关系;干旱化与干旱时段是完全不同的两个过程,两者所处的时段也不同;近10年(2001~2010年)全球五个大陆可能将进入一个相对湿润的时段。(4)四个典型干旱半干旱区降水的年代尺度变化具有明显的区域差异。总体来说,华北和北非与北美和中亚降水在长期趋势及年代际振荡上具有反位相的特征。华北和北非的年代际振荡具有近似的位相。在最近几十年,北美和中亚同处于湿润时段,但前者开始于1975年,后者开始于1985年。此外,中亚的第一个湿润时段(1959~1968年)却对应北美的干旱时段。  相似文献   

4.
东北亚近100年降水变化及未来10~15年预测研究   总被引:19,自引:3,他引:16  
利用中国北方22个站点降水观测资料,检验了英国东英格兰大学气候研究中心的CRU05降水资料的可信度,与同类资料相比,该套资料具有较高的时间和空间分辨率。分析发现,20世纪中国东部地区和20世纪中后期西部地区的降水资料具有较高的可信度。利用这套资料分析了东北亚地区近100年降水变化规律,发现中国北方年降水量普遍存在3年、10年和30年左右的周期振荡,20世纪的几个主要干旱时期和多雨时期是由于降水的年际变化和年代际变化共同影响的结果,特大干旱都是发生在降水年代际变化的少雨时期和年际变化的少雨时期同时出现的阶段。将东北亚降水划分为10个主要区域,即中亚及北疆区、华北及西北东部区、蒙古中北部区、河西走廊及蒙古西部区、黑龙江东部区、大兴安岭西部区、中亚北部区、南疆及柴达木盆地区、东北南部区和阿尔泰山北部区。分析还发现,中国北方的干旱半干旱区不是孤立的,它与蒙古干旱区和中亚干旱区连在一起。在主要振荡周期分析的基础上,对中国北方未来10~15年降水变化趋势做了预测研究。  相似文献   

5.
基于1961~2017年青藏高原腹地雅鲁藏布江河谷地区4个站(拉萨、日喀则、泽当和江孜)夏季(6~8月)月平均气温、降水和相对湿度等观测资料,分析了该地区夏季气候年际和年代际演变特征,并探讨了气温、降水和相对湿度在年际和年代际时间尺度上的相互关系以及与总云量和地面水汽压的联系。结果表明:(1)1961~2017年该地区夏季气候出现了暖干化趋势。气温(相对湿度)显著升高(下降),降水趋势变化不明显;本世纪初气温(相对湿度)均发生了显著的突变。(2)该地区夏季气候因子间在年际和年代际时间尺度上存在密切关系:气温与相对湿度和降水均存在明显的负相关,降水与相对湿度为正相关。(3)该地区夏季气候因子间的年际和年代际变化与同期总云量和地面水汽变化有关。1961~2017年总云量持续减少是气温显著升高的主要原因之一,气温的显著升高和降水变化不明显又造成了相对湿度的显著下降。  相似文献   

6.
王铭昊  李焕连  孙小婷 《气象》2018,44(5):634-644
本文利用美国全球降水气候中心(GPCC)的降水资料和中国参加国际第五阶段耦合模式比较计划(CMIP5)的6个气候模式[BCC_CSM1.1、BCC_CSM1.1(m)、BNU-ESM、FGOALS-s2、FGOALS-g2和FIO-ESM]的历史模拟试验的降水数据,采用可以表征降水变率相对和绝对量级的方法,定量评估了6个模式对降水年际-年代际变率的模拟能力。研究表明,观测降水的年际变率一般占总方差的65%~80%,年代际变率占总方差的10%~35%。在CMIP5历史试验中,6个模式平均的降水年际分量方差对总方差的贡献(超过70%)较观测偏强,模拟降水年代际分量的方差对总方差的贡献较小(约为10%~20%)。模式总体低估了全球平均总降水、年际降水和年代际降水的变率,但是高估了年际降水对总降水的贡献、低估了年代际降水对总降水的贡献。与观测相比,6个模式对东亚和澳大利亚地区的年代际降水的模拟都比较好,模拟与观测年代际降水方差的比值为1左右。在非洲、南美洲和海洋性大陆,BCC_CSM1.1模式模拟的降水年代际变率最接近观测;在欧亚和北美,BNU-ESM模式模拟的降水年代际变率与观测最接近。在欧亚大陆上,BCC_CSM1.1模式模拟的降水年际分量与年代际分量的方差比最接近观测;在非洲和美洲,FGOALS-s2模式模拟的降水年际分量与年代际分量的方差比最接近观测。本文的研究结果有助于理解中国当前气候模式对降水年际-年代际变率的模拟能力,以及未来改进模式。  相似文献   

7.
选用陕西省51个地面气象站1961—2019年日降水数据,利用MATLAB2017计算了6个极端降水指数,采用线性趋势分析法、森斜率和改进的非参数Mann-Kendall趋势检验法研究不同时间尺度下极端降水指数的时空演变特征并找出了发生突变的年份。结果表明:各极端降水指数的月际、年际和年代际变化差异较大;夏季(7—9月)容易发生极端湿润事件,而冬季则容易发生极端干旱事件;连续干旱日数(DCD)、连续湿润日数(DCW)、强降水日数(DR10)和最大日降水量(Rd,max)、非常湿润日降水量(R95p)、全年湿润日降水总量(RT)的变化趋势率分别为-014、-013、-020 d/10 a 和108、039、-342 mm/10 a,多年平均值分别为388、58、200 d和607、1678、6443 mm;极端湿润事件发生较频繁的站点主要分布在陕南地区,而陕北地区的站点发生干旱的风险较高;陕北有变湿润的趋势,而关中平原地区的极端降水事件整体有缓解的趋势,陕南地区极端降水事件则表现为区域加剧和缓解并存的趋势。  相似文献   

8.
基于澜沧江流域10个气象站点1951~2012年的日降水资料的逐月标准化降水蒸散指数(SPEI)值、各站1998~2012年流域的归一化植被指数(NDVI)值,利用SPEI以及趋势分析法,多尺度分析了澜沧江流域干旱发生的时间和强度演变特征以及上中下游NDVI时间变化特征,探讨了气候变化对植被变化的影响,并对NDVI与SPEI的变化进行了相关性分析。结果表明,不同站点和不同时间尺度的SPEI值均呈现出干旱化逐年加强的线性趋势,上游相对于中下游干旱态势较轻,且时间尺度越大,干旱波动趋势越明显;在季节尺度上,夏、秋、冬的SPEI值均呈下降趋势,其中冬季干旱最为严重;15年来澜沧江流域各区域年平均NDVI总体表现为先降低后增加,总体植被状况得到改善,其中下游较明显。从年际变化看,对于流域的不同区域,NDVI与不同尺度的SPEI的相关性和滞后性有较大差异,年代际之间的响应规律也不同,中下游的SPEI对同年NDVI的响应比较敏感,而上游则表现出明显的滞后性。说明NDVI对SPEI的响应比较敏感,干旱程度的变化在一定程度上影响着流域的植被状况,SPEI是影响NDVI的因素之一。  相似文献   

9.
近50年中国大陆冬季气温和区域环流的年代际变化研究   总被引:7,自引:1,他引:6  
梁苏洁  丁一汇  赵南  孙颖 《大气科学》2014,38(5):974-992
利用中国大陆468 个站点1960~2013 年逐日气温资料,本文首先对中国冬季气温的年代际变化特征进行分析。通过气候跃变检验分析发现,中国冬季气温在整体变暖的趋势上叠加有年代际波动,可划分为冷期、暖期和停滞期三个时期。本文对比三个时期的冬季大气环流发现,冷/停滞期(暖)期西风环流减弱(增强)而东亚大槽增强(浅薄),槽后的辐合下沉增强(削弱),西伯利亚高压增强(减弱),这加强(削弱)了东亚冬季风,冷空气更多(少)侵入中国大陆地区,冬季气温偏低(高)。北半球环状模/北极涛动(Northern Hemisphere Annular Mode,NAM/Arctic Oscillation,AO)正是通过东亚冬季风系统对中国冬季气温,尤其是冬季最低气温有很强的年代际影响。太平洋年代际振荡(Pacific Decadal Oscillation,PDO)与中国冬季气温在年代际上也有很好的正相关关系。进一步将PDO 的年代际变化分量作为背景,分析NAM/AO 和厄尔尼诺—南方涛动(El Nino Southern Oscillation,ENSO)不同配置下的东亚冬季风环流场可以发现,两者的配置作用不仅影响着中国冬季气温一致变化型的年代际波动,而且也可以影响到冬季气温南北反相振荡型的变化,这从一个方面解释了1980 年代和1990年代北方变暖较强及最近十年北方降温趋势较为明显的原因。  相似文献   

10.
青藏高原中东部夏季极端降水年代际变化特征   总被引:3,自引:2,他引:1  
曹瑜  游庆龙  马茜蓉 《气象科学》2019,39(4):437-445
基于中国国家级地面气象站基本气象要素日值数据集得到的均一化降水序列,计算了夏季极端降水指数,分析青藏高原中东部1961—2014年夏季极端降水年代际变化趋势。结果表明:青藏高原中东部地区夏季降水量占全年总降水的50%以上,且夏季降水的变化趋势存在区域性差异,北部站点主要为增加趋势,南部增加和减少趋势的站点相当。夏季极端降水除西藏东部主要为减少趋势外,其他地区主要为增加趋势,且极强降水量的年代际变化趋势显著。大部分夏季极端降水指数的变化趋势在1970s发生转折,在此之前表现为减少的趋势,之后为增加趋势。通过Mann-Kendall趋势检验,在2000年之后强降水量和极强降水量出现突变。  相似文献   

11.
Changes of global land monsoon precipitation are assessed by using three sets of rain-gauge precipitation data for the period of 1901?C2002 compiled by GPCC, CRU and Dai-dataset, respectively. The three datasets show consistent long-term changes of precipitation over the monsoon region with slightly different amplitudes. During 1901?C2001, global land monsoon precipitation (GMI) exhibits multi-decadal variations, with an overall increasing trend from 1901 to 1955, followed by a decreasing trend up to 2001. The upward trends of global and Northern hemispheric land monsoon precipitation during 1901?C1955 are mainly resulted from the increased precipitation over the North African, Indian and East Asian monsoon domains. For the whole period of 1901?C2001, precipitation averaged over the Northern Hemisphere and global land monsoon areas both exhibit a decreasing trend although it is only statistically significant at the 5% level for the Northern Hemisphere. The robust decreasing trend of Northern hemispheric land monsoon precipitations during the twentieth century mainly comes from the downward trend of North African and eastern part of Indian monsoon precipitation and occurs mainly after the 1950s. The first leading mode of Empirical orthogonal function (EOF) analysis of precipitation annual range features a coherent change of North African, South Asian, Northeast China, southern South African, eastern Australian and western American monsoon, and a coherent change over the equatorial South African monsoon and eastern American monsoon. The corresponding principal component time series also indicate that the majority of global land monsoon precipitation has experienced an increasing tendency from 1901 to 1955 and a decreasing trend since the 1950s. Examination on the impact of station number change indicates a negligible influence on the results, especially after 1905.  相似文献   

12.
利用1979—2006年云南及周边地区148个测站月降水资料 (简称为STN) 与APHRO (日本APHRODITE高分辨率逐日亚洲陆地降水数据集)、GPCC (全球降水气候中心的月降水合成数据)、CRU (英国East Anglia大学提供的月降水要素数据集)、CMAP (雨量资料与卫星估计及NCEP/NCAR再分析降水场合并分析月数据)、GPCP (全球降水气候中心研制的全球陆地雨量计观测分析月数据) 5套格点降水资料,分析了云南及周边地区气候特征。结果表明:5套格点降水资料空间分布与STN基本一致。EOF第1模态空间场分布也表明:这5套格点降水资料与STN空间分布特征较为一致,但5套格点降水资料在滇南、滇西北、滇川黔交界的3个区域的分布与STN有较大不同,各套资料的EOF第1模态时间序列、与STN的相关系数及均方根误差均随时间不同呈较为一致的波动性;在降水空间分布、相关系数及均方根误差3个方面,APHRO适用性最好,GPCC次之,CMAP与GPCP无明显差别,CRU最差,其中APHRO,GPCC在对降水估计偏低,CRU对降水估计总体略高,CMAP略低,GPCP对降水估计则明显偏高。  相似文献   

13.
This paper describes the construction of a 0.5°×0.5°daily temperature dataset for the period of 1961- 2005 over mainland China for the purpose of climate model validation. The dataset is based on the in- terpolation from 751 observing stations in China and comprises 3 variables: daily mean,minimum,and maximum temperature.The"anomaly approach"is applied in the interpolation.The gridded climatology of 1971-2000 is first calculated and then a gridded daily anomaly for 1961-2005 is added to the climatologY to o...  相似文献   

14.
This paper tried to reconstruct the time series (TS) of monthly average temperature (MAT), monthly accumulated precipitation (MAP), and monthly accumulated runoff (MAR) during 1901–1960 in the Kaidu River Basin using the Delta method and the three-layered feed forward neural network with backpropagation algorithm (TLBP-FFNN) model. Uncertainties in the reconstruction of hydrometeorological parameters were also discussed. Available monthly observed hydrometeorological data covering the period 1961–2000 from the Kaidu River Basin, the monthly observed meteorological data from three stations in Central Asia, monthly grid climatic data from the Climatic Research Unit (CRU), and Coupled Model Intercomparison Project Phase 3 (CMIP3) dataset covering the period 1901–2000 were used for the reconstruction. It was found that the Delta method performed very well for calibrated and verified MAT in the Kaidu River Basin based on the monthly observed meteorological data from Central Asia, the monthly grid climatic data from CRU, and the CMIP3 dataset from 1961 to 2000. Although calibration and verification of MAP did not perform as well as MAT, MAP at Bayinbuluke station, an alpine meteorological station, showed a satisfactory result based on the data from CRU and CMIP3, indicating that the Delta method can be applied to reconstruct MAT in the Kaidu River Basin on the basis of the selected three data sources and MAP in the mountain area based on CRU and CMIP3. MAR at Dashankou station, a hydrological gauge station on the verge of the Tianshan Mountains, from 1961 to 2000 was well calibrated and verified using the TLBP-FFNN model with structure (8,1,1) by taking MAT and MAP of four meteorological stations from observation; CRU and CMIP3 data, respectively, as inputs; and the model was expanded to reconstruct TS during 1901–1960. While the characteristics of annual periodicity were depicted well by the TS of MAT, MAP, and MAR reconstructed over the target stations during the period 1901–1960, different high frequency signals were captured also. The annual average temperature (AAT) show a significant increasing trend during the 20th century, but annual accumulated precipitation (AAP) and annual accumulated runoff (AAR) do not. Although some uncertainties exist in the hydrometeorological reconstruction, this work should provide a viable reference for studying long-term change of climate and water resources as well as risk assessment of flood and drought in the Kaidu River Basin, a region of fast economic development.  相似文献   

15.
In this study the results of the regional climate model COSMO-CLM (CCLM) covering the Greater Alpine Region (GAR, 4°–19°W and 43°–49°N) were evaluated against observational data. The simulation was carried out as a hindcast run driven by ERA-40 reanalysis data for the period 1961–2000. The spatial resolution of the model data presented is approx. 10 km per grid point. For the evaluation purposes a variety of observational datasets were used: CRU TS 2.1, E-OBS, GPCC4 and HISTALP. Simple statistics such as mean biases, correlations, trends and annual cycles of temperature and precipitation for different sub-regions were applied to verify the model performance. Furthermore, the altitude dependence of these statistical measures has been taken into account. Compared to the CRU and E-OBS datasets CCLM shows an annual mean cold bias of ?0.6 and ?0.7 °C, respectively. Seasonal precipitation sums are generally overestimated by +8 to +23 % depending on the observational dataset with large variations in space and season. Bias and correlation show a dependency on altitude especially in the winter and summer seasons. Temperature trends in CCLM contradict the signals from observations, showing negative trends in summer and autumn which are in contrast to CRU and E-OBS.  相似文献   

16.
Total Cloud Cover (TCC) over China determined from four climate datasets including the International Satellite Cloud Climatology Project (ISCCP), the 40-year Re-Analysis Project of the European Centre for Medium-Range Weather Forecasts (ERA-40), Climate Research Unit Time Series 3.0 (CRU3), and ground station datasets are used to show spatial and temporal variation of TCC and their differences. It is demonstrated that the four datasets show similar spatial pattern and seasonal variation. The maximum value is derived from ISCCP. TCC value in North China derived from ERA-40 is 50% larger than that from the station dataset; however, the value is 50% less than that in South China. The annual TCC of ISCCP, ERA-40, and ground station datasets shows a decreasing trend during 1984-2002; however, an increasing trend is derived from CRU3. The results of this study imply remarkable differences of TCC derived from surface and satellite observations as well as model simulations. The potential effects of these differences on cloud climatology and associated climatic issues should be carefully considered.  相似文献   

17.
Summer precipitation products from the 45-Year European Centre for Medium-Range Weather Forecast (ECMWF) Reanalysis (ERA-40), and NCEP-Department of Energy (DOE) Atmospheric Model Intercomparison Project (AMIP-II) Reanalysis (NCEP-2), and Climatic Research Unit (CRU) TS 2.1 dataset are compared with the corresponding observations over China in order to understand the quality and utility of the reanalysis datasets for the period 1979–2001. The results reveal that although the magnitude and location of the rainfall belts differ among the reanalysis, CRU, and station data over South and West China, the spatial distributions show good agreement over most areas of China. In comparison with the observations in most areas of China, CRU best matches the observed summer precipitation, while ERA-40 reports less precipitation and NCEP-2 reports more precipitation than the observations. With regard to the amplitude of the interannual variations, CRU is better than either of the reanalyses in representing the corresponding observations. The amplitude in NCEP-2 is stronger but that of ERA-40 is weaker than the observations in most study domains. NCEP-2 has a more obvious interannual variability than ERA-40 or CRU in most areas of East China. Through an Empirical orthogonal function (EOF) analysis, the main features of the rainfall belts produced by CRU agree better with the observations than with those produced by the reanalyses in the Yangtze-Huaihe River valley. In East of China, particularly in the Yangtze-Huaihe River valley, CRU can reveal the quasi-biennial oscillation of summer precipitation represented by the observations, but the signal of ERA-40 is comparatively weak and not very obvious, whereas that of NCEP-2 is also weak before 1990 but very strong after 1990. The results also suggest that the magnitude of the precipitation difference between ERA-40 and the observations is smaller than that between NCEP-2 and the observations, but the variations represented by NCEP-2 are more reasonable than those given by ERA-40 in most areas of East China to some extent.  相似文献   

18.
The spatial and temporal consistency of seasonal air temperature and precipitation in eight widely used gridded observation-based climate datasets (CANGRD, CRU-TS3.1, CRUTEM4.1, GISTEMP, GPCC, GPCP, HadCRUT3, and UDEL) and eight reanalyses (20CR, CFSR, ERA-40, ERA-Interim, JRA25, MERRA, NARR, and NCEP2) was evaluated over the Canadian Arctic for the 1950–2010 period. The evaluation used the CANGRD dataset, which is based on homogenized temperature and adjusted precipitation from climate stations, as a reference. Dataset agreement and bias were observed to exhibit important spatial, seasonal, and temporal variability over the Canadian Arctic with the largest spread occurring between datasets over mountain and coastal regions and over the Canadian Arctic Archipelago. Reanalysis datasets were typically warmer and wetter than surface observation-based datasets, with CFSR and 20CR exhibiting biases in total annual precipitation on the order of 300?mm. Warm bias in 20CR exceeded 12°C in winter over the western Arctic. Analysis of the temporal consistency of datasets over the 1950–2010 period showed evidence of discontinuities in several datasets as well as a noticeable increase in dataset spread in the period after approximately 2000. Declining station networks, increased automation, and the inclusion of new satellite data streams in reanalyses are potential contributing factors to this phenomenon. Evaluation of trends over the 1950–2010 period showed a relatively consistent picture of warming and increased precipitation over the Canadian Arctic from all datasets, with CANGRD giving moistening trends two times larger than the multi-dataset average related to the adjustment of the station precipitation data. The study results indicate that considerable care is needed when using gridded climate datasets in local or regional scale applications in the Canadian Arctic.  相似文献   

19.
High-resolution precipitation datasets are used for numerous applications. However, depending on the procedures for obtaining these products, such as number of observations, quality checking, error-correction procedures, and interpolation techniques, they include many uncertainties. Therefore, the accuracy of these products needs to be evaluated over different regions. In this study, the Iranian National Dataset (INDS), a new 1?×?1 km precipitation dataset based on precipitation data of 1,441 quality-controlled stations for the climatic period from 1961 to 2005, was constructed using the digital elevation model, correlation method, and Kriging interpolation procedure. Iran's annual precipitation values at grids and stations were extracted from Climatic Research Unit (CRU) CL 2.0, CRU TS 3.10.01, and WorldClim datasets, and differences between corresponding values in each of the three datasets and INDS were calculated and analyzed. The coefficient of determination (R 2) between the national network stations' data and the CRU CL 2.0, CRU TS 3.10.01, and WorldClim datasets were 0.50, 0.13, and 0.62, respectively. Moreover, R 2 values between the grids of each dataset and INDS were 0.51, 0.40, and 0.60, respectively. To determine the global datasets' efficiency for displaying temporal patterns of precipitation, the monthly values gathered from them at 11 stations (as representative of Iran's various precipitation regimes) were compared with the real values at these stations. The results showed that in term of temporal patterns, the concurrences among the three global datasets and the INDS was more acceptable, especially in the case of CRU CL 2.0. In general, it is concluded that the global datasets could be deployed for the primary assessment of the annual precipitation distribution; however, for more precise studies, use of local data is highly recommended.  相似文献   

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