帮助 关于我们

返回检索结果

基于广义加性模型估算1979-2014年三峡库区降水及其特征分析
Precipitation estimation and analysis of the Three Gorges Dam region (1979-2014)by combining gauge measurements and MSWEP with generalized additive model

查看参考文献24篇

文摘 高精度、长时间序列、空间连续的降水产品是气候分析、水文模拟等众多研究领域中的重要输入。近期欧洲研究人员融合了3种不同类型的降水数据:站点观测、遥感产品、再分析资料,制作了全球1979-2014年3小时一次0.25°空间分辨率的降水产品(Multi-Source Weighted- Ensemble Precipitation, MSWEP),凭借高时空分辨率及其对多源信息的挖掘和融合,该产品一经发布即受到广泛关注。本文利用三峡库区及附近地区气象站点的降水资料对MSWEP月降水数据进行评估,采用广义加性模型算法(General Additive Model,GAM)融合站点降水空间插值结果和MSWEP产品,对三峡库区融合后降水进行分析。主要结论为:①降水估算精度呈现冬春季偏高、夏秋季偏低的特征,MSWEP产品与站点插值方法具有互补性,前者对夏秋季降水估算精度更高,后者对冬春季降水估算精度更高;② GAM算法可以充分发挥站点插值和MSWEP数据各自的优势,提高区域降水估算精度,与融合前相比,均方根误差减少了17%~ 50%,相关系数r提高了10%~30%;③ 2003年库区蓄水前后降水变化的主要特征有:库区中部长江以南地区汛期降水(5-10月)下降,库区西部干季(1-4月,11-12月)降水增加,库区外围西北部(大巴山地区)汛期降水增加,降水空间格局异质性增加,干季降水占全年降水比例升高。
其他语种文摘 Long time-series, spatially-contiguous and accurate precipitation products are one of the most important inputs for various studies, including climate change detection, hydrological modelling, drought monitoring, etc. However, due to its high spatio- temporal variability, precipitation is one of the meteorological elements that are most difficult to estimate. Recently, a new global gridded precipitation dataset that merges gauge measurements, satellite products, and reanalysis data, has been produced. Owing to its high spatial resolution, long time span, and comprehensive combination of different precipitation data sources, MSWEP data have received wide attention since its release. In this study, we first evaluated accuracy of MSWEP monthly precipitation using local gauge measurements in the Three Gorges Dam region, then produced more accurate precipitation data by combining MSWEP and gauge measurements with the GAM (Generalized Additive Model)method, and finally analysed precipitation changes before and after the dam water level rose to 135 m in June 2003. Main conclusions are drawn as follows. (1)No matter what methods are used, estimation accuracy of precipitation shows strong seasonality: more accurate in cold- dry season (spring and winter), while less accurate in hot- wet season (summer and autumn). Gauge measurement and MSWEP are complementary, with the former being more accurate in cold- dry season and the latter being more accurate in hot-wet season. (2)GAM can take advantages of both gauge measurements and MSWEP with flexibility and achieve more accurate precipitation estimation (rmse decreases by 17%-50%, and r increases by 10%-30%). There are still great seasonal variations in accuracy, with rmse being 8- 20 mm in spring and winter and 20- 50 mm in summer and autumn. (3)Based on the precipitation estimation results obtained in step 2, we found the following phenomena after the water level rose to 135 m in 2003: 1)dam regions south of the Yangtze River show a precipitation reduction over May-October; 2)dam regions in the western part show a precipitation increase over November-April; 3)The northwestern part outside core dam regions shows a precipitation increase over May- October, which is consistent with the results of other studies; 4)precipitation shows an increase in spatial heterogeneity, but a slight decrease in seasonality conveyed by an increase in proportion of precipitation in dry season.
来源 地理学报 ,2017,72(7):1207-1220 【核心库】
DOI 10.11821/dlxb201707007
关键词 降水 ; 三峡库区 ; MSWEP ; GAM
地址

国家卫星气象中心, 北京, 100081

语种 中文
文献类型 研究性论文
ISSN 0375-5444
学科 大气科学(气象学)
基金 国家公益气象行业专项 ;  国家自然科学基金项目
文献收藏号 CSCD:6029161

参考文献 共 24 共2页

1.  Dalya C. A statistical-topographic model for mapping climatological precipitation over mountainous terrain. Journal of Applied Meteorology,1994,33:140-158 CSCD被引 54    
2.  Herold N. How much does it rain over land?. Geophysical Research Letter,2015,43:341-348 CSCD被引 1    
3.  Prein A F. Impacts of uncertainties in European gridded precipitation observations on regional climate analysis. International Journal of Climatology,2016 CSCD被引 4    
4.  Beck H E. MSWEP:3-hourly 0.25° global gridded precipitation (1979-2015) by merging gauge, satellite, and reanalysis data. Hydrol. Earth Syst. Sci. Discuss,2016 CSCD被引 1    
5.  Huffman G J. The TRMM Multisatellite Precipitation Analysis (TMPA):Quasi-global, multiyear, combined-sensor precipitation estimates at fine scales. Journal of Hydrometeorology,2007,8:38-55 CSCD被引 228    
6.  Funk C. A global satellite-assisted precipitation climatology. Earth System Science Data,2015,7:275-287 CSCD被引 3    
7.  Kidd C. Inter comparison of high-resolution precipitation products over Northwest Europe. Journal of Hydrometeorology,2012,13:67-83 CSCD被引 9    
8.  Wu J. Climate effects of the Three Gorges Reservoir as simulated by a high resolution double nested regional climate model. Quaternary International,2012,282:27-36 CSCD被引 13    
9.  Miller N. Local climate sensitivity of the Three Gorges Dam. Geophysical Research Letter,2005,32:L16704 CSCD被引 3    
10.  Wu L G. The Three Gorges Dam affects regional precipitation. Geophysical Research Letter,2006,33:L13806 CSCD被引 14    
11.  李博. 基于TRMM 卫星资料分析三峡蓄水前后的局地降水变化. 长江流域资源与环境,2014,23(5):617-625 CSCD被引 8    
12.  Xiao C. Precipitation characteristics in the Three Gorges Dam vicinity. International Journal of Climatology,2010,30:2021-2024 CSCD被引 2    
13.  马占山. 三峡水库对区域气候影响的数值模拟分析. 长江流域资源与环境,2010,19(9):1044-1052 CSCD被引 13    
14.  Zhao F. Precipitation changes near Three Gorges Dam, China (Part I):A spatiotemporal validation analysis. Journal of Hydrometeorology,2012,13:735-745 CSCD被引 2    
15.  Tian Y D. A global map of uncertainties in satellite-based precipitation measurements. Geophysical Research Letters,2010,37:L24407 CSCD被引 2    
16.  Wood S N. Thin plate regression splines. Journal of the Royal Statistical Society Series B (Statistical Methodology),2003,65(1):95-114 CSCD被引 9    
17.  Parmentier B. An assessment of methods and remote-sensing derived covariates for regional predictions of 1 km daily maximum air temperature. Remote Sensing,2014,6:8639-8670 CSCD被引 2    
18.  Ouarda T B M J. The generalized additive model for the assessment of the direct, diffuse, and global solar irradiances using SEVIRI images, with application to the UAE. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,2016,9(4):1553-1566 CSCD被引 2    
19.  Zhang X. Local adaptive calibration of the satellite derived surface incident shortwave radiation product using smoothing spline. IEEE Transactions on Geoscience and Remote Sensing,2016 CSCD被引 1    
20.  Park N W. Quantitative assessment of landslide susceptibility using high resolution remote sensing data and a generalized additive model. International Journal of Remote Sensing,2008,29(1):247-264 CSCD被引 6    
引证文献 8

1 王圆圆 1979年—2014年三峡库区月平均气温的时空变化分析 遥感学报,2018,22(3):487-496
CSCD被引 6

2 邓越 MSWEP降水产品在中国大陆区域的精度评估 水科学进展,2018,29(4):455-464
CSCD被引 9

显示所有8篇文献

论文科学数据集

1. 中国逐日降水数据集(1961-2022,0.1°/0.25°/0.5°)

2. 亚东降水观测网数据集(2016-2019)

3. 雅鲁藏布江流域高时空分辨率降水数据(1981-2016)

数据来源:
国家青藏高原科学数据中心

1. 2009-2018年TRMM 3B43第7版逐月降水数据

2. 中国中西部地区年降水量空间分布数据集(2010)

3. 三江源及其毗邻地区公里网格降水数据集(2009-2013)

数据来源:
国家对地观测科学数据中心
PlumX Metrics
相关文献

 作者相关
 关键词相关
 参考文献相关

版权所有 ©2008 中国科学院文献情报中心 制作维护:中国科学院文献情报中心
地址:北京中关村北四环西路33号 邮政编码:100190 联系电话:(010)82627496 E-mail:cscd@mail.las.ac.cn 京ICP备05002861号-4 | 京公网安备11010802043238号