Precipitation Trends over the Indus Basin

被引:31
作者
Krakauer, Nir Y. [1 ,2 ]
Lakhankar, Tarendra [1 ,2 ]
Dars, Ghulam H. [3 ]
机构
[1] CUNY City Coll, Dept Civil Engn, New York, NY 10031 USA
[2] CUNY City Coll, NOAA CREST, New York, NY 10031 USA
[3] Mehran Univ Engn & Technol, US Pakistan Ctr Adv Studies Water, Jamshoro 76062, Pakistan
基金
美国海洋和大气管理局;
关键词
precipitation; South Asia; Indus basin; climate change; LAND-SURFACE PRECIPITATION; CLIMATE-CHANGE; GPM IMERG; HYDROLOGICAL CYCLE; PROJECTED CHANGES; DATA PRODUCTS; RIVER-BASIN; REANALYSIS; ASIA; TMPA;
D O I
10.3390/cli7100116
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
A large population relies on water input to the Indus basin, yet basinwide precipitation amounts and trends are not well quantified. Gridded precipitation data sets covering different time periods and based on either station observations, satellite remote sensing, or reanalysis were compared with available station observations and analyzed for basinwide precipitation trends. Compared to observations, some data sets tended to greatly underestimate precipitation, while others overestimate it. Additionally, the discrepancies between data set and station precipitation showed significant time trends in many cases, suggesting that the precipitation trends of those data sets were not consistent with station data. Among the data sets considered, the station-based Global Precipitation Climatology Centre (GPCC) gridded data set showed good agreement with observations in terms of mean amount, trend, and spatial and temporal pattern. GPCC had average precipitation of about 500 mm per year over the basin and an increase in mean precipitation of about 15% between 1891 and 2016. For the more recent past, since 1958 or 1979, no significant precipitation trend was seen. Among the remote sensing based data sets, the Tropical Rainfall Measuring Mission Multi-Satellite Precipitation Analysis (TMPA) compared best to station observations and, though available for a shorter time period than station-based data sets such as GPCC, may be especially valuable for parts of the basin without station data. The reanalyses tended to have substantial biases in precipitation mean amount or trend relative to the station data. This assessment of precipitation data set quality and precipitation trends over the Indus basin may be helpful for water planning and management.
引用
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页数:20
相关论文
共 109 条
[1]   The Global Precipitation Climatology Project (GPCP) Monthly Analysis (New Version 2.3) and a Review of 2017 Global Precipitation [J].
Adler, Robert F. ;
Sapiano, Mathew R. P. ;
Huffman, George J. ;
Wang, Jian-Jian ;
Gu, Guojun ;
Bolvin, David ;
Chiu, Long ;
Schneider, Udo ;
Becker, Andreas ;
Nelkin, Eric ;
Xie, Pingping ;
Ferraro, Ralph ;
Shin, Dong-Bin .
ATMOSPHERE, 2018, 9 (04)
[2]   Investigations into Precipitation and Drought Climatologies in South Central Asia with Special Focus on Pakistan over the Period 1951-2010 [J].
Adnan, Shahzada ;
Ullah, Kalim ;
Gao Shouting .
JOURNAL OF CLIMATE, 2016, 29 (16) :6019-6035
[3]  
Afzal M., 2013, Pakistan Journal of Meteorology, V9, P1
[4]   Precipitation Trends over Time Using Mann-Kendall and Spearman's rho Tests in Swat River Basin, Pakistan [J].
Ahmad, Ijaz ;
Tang, Deshan ;
Wang, TianFang ;
Wang, Mei ;
Wagan, Bakhtawar .
ADVANCES IN METEOROLOGY, 2015, 2015
[5]   Analysis of long term meteorological trends in the middle and lower Indus Basin of Pakistan-A non-parametric statistical approach [J].
Ahmad, Waqas ;
Fatima, Aamira ;
Awan, Usman Khalid ;
Anwar, Arif .
GLOBAL AND PLANETARY CHANGE, 2014, 122 :282-291
[6]   Evaluation of Gridded Precipitation Datasets over Arid Regions of Pakistan [J].
Ahmed, Kamal ;
Shahid, Shamsuddin ;
Wang, Xiaojun ;
Nawaz, Nadeem ;
Khan, Najeebullah .
WATER, 2019, 11 (02)
[7]   Spatial distribution of secular trends in annual and seasonal precipitation over Pakistan [J].
Ahmed, Kamal ;
Shahid, Shamsuddin ;
Chung, Eun-Sung ;
Ismail, Tarmizi ;
Wang, Xiao-Jun .
CLIMATE RESEARCH, 2018, 74 (02) :95-107
[8]   ERA-5 and ERA-Interim driven ISBA land surface model simulations: which one performs better? [J].
Albergel, Clement ;
Dutra, Emanuel ;
Munier, Simon ;
Calvet, Jean-Christophe ;
Munoz-Sabater, Joaquin ;
de Rosnay, Patricia ;
Balsamo, Gianpaolo .
HYDROLOGY AND EARTH SYSTEM SCIENCES, 2018, 22 (06) :3515-3532
[9]   Quantification of spatial temporal variability of snow cover and hydro-climatic variables based on multi-source remote sensing data in the Swat watershed, Hindukush Mountains, Pakistan [J].
Anjum, Muhammad Naveed ;
Ding, Yongjian ;
Shangguan, Donghui ;
Liu, Junguo ;
Ahmad, Ijaz ;
Ijaz, Muhammad Wajid ;
Khan, Muhammad Imran .
METEOROLOGY AND ATMOSPHERIC PHYSICS, 2019, 131 (03) :467-486
[10]   Performance evaluation of latest integrated multi-satellite retrievals for Global Precipitation Measurement (IMERG) over the northern highlands of Pakistan [J].
Anjum, Muhammad Naveed ;
Ding, Yongjian ;
Shangguan, Donghui ;
Ahmad, Ijaz ;
Ijaz, Muhammad Wajid ;
Farid, Hafiz Umar ;
Yagoub, Yousif Elnour ;
Zaman, Muhammad ;
Adnan, Muhammad .
ATMOSPHERIC RESEARCH, 2018, 205 :134-146