Validation of satellite based precipitation over diverse topography of Pakistan

被引:82
|
作者
Iqbal, Muhammad Farooq [1 ]
Athar, H. [1 ]
机构
[1] COMSATS Inst Informat Technol, Dept Meteorol, Pk Rd, Islamabad 44000, Pakistan
关键词
TRMM; TMPA; Surface; Precipitation Gauge; APHRODITE; Validation; Pakistan; MEASURING MISSION TRMM; DENSE NETWORK; ANALYSIS TMPA; RAINFALL; RESOLUTION; PRODUCTS; PERFORMANCE; DATASET;
D O I
10.1016/j.atmosres.2017.10.026
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
This study evaluates the Tropical Rainfall Measuring Mission (TRMM) Multi-Satellite Precipitation Analysis (TMPA) product data with 0.25 degrees x 0.25 degrees spatial and post-real-time 3 h temporal resolution using point-based Surface Precipitation Gauge (SPG) data from 40 stations, for the period 1998-2013, and using gridded Asian Precipitation- Highly Resolved Observational Data Integration Towards Evaluation of Water Resources (APHRODITE) data abbreviated as APH data with 0.25 degrees x 0.25 degrees spatial and daily temporal resolution for the period 1998-2007, over vulnerable and data sparse regions of Pakistan (24-37 degrees N and 62-75 degrees E). To evaluate the performance of TMPA relative to SPG and APH, four commonly used statistical indicator metrics including Mean Error (ME), Mean Absolute Error (MAE), Root Mean Square Error (RMSE), and Correlation Coefficient (CC) are employed on daily, monthly, seasonal as well as on annual timescales. The TMPA slightly overestimated both SPG and APH at daily, monthly, and annual timescales, however close results were obtained between TMPA and SPG as compared to those between TMPA and APH, on the same timescale. The TMPA overestimated both SPG and APH during the Pre-Monsoon and Monsoon seasons, whereas it underestimated during the Post-Monsoon and Winter seasons, with different magnitudes. Agreement between TMPA and SPG was good in plain and medium elevation regions, whereas TMPA overestimated APH in 31 stations. The magnitudes of MAE and RMSE were high at daily timescale as compared to monthly and annual timescales. Relatively large MAE was observed in stations located over high elevation regions, whereas minor MAE was recorded in plain area stations at daily, monthly, and annual timescales. A strong positive linear relationship between TMPA and SPG was established at monthly (0.98), seasonal (0.93 to 0.98) and annual (0.97) timescales. Precipitation increased with the increase of elevation, and not only elevation but latitude also affected the intensity and amount of precipitation in Pakistan. It is evident that TMPA overestimates SPG in some regions and seasons and underestimates in other regions and seasons. It is thus determined from the current study that TMPA gives better results on annual, seasonal, and monthly timescales as compared to daily timescale. The TMPA might be used in all the four seasons including Winter, Pre-Monsoon, Monsoon, and Post-Monsoon. The TMPA mostly underestimates both SPG and APH in high elevation regions, whereas in plain and medium elevation regions it gives better results. This study concludes that TMPA can be a good substitute of SPG for water resource management in plain and medium elevation regions in central and northern parts of Pakistan, during all four seasons.
引用
收藏
页码:247 / 260
页数:14
相关论文
共 50 条
  • [1] Validation of CHIRPS satellite-based precipitation dataset over Pakistan
    Nawaz, Muhammad
    Iqbal, Muhammad Farooq
    Mahmood, Irfan
    ATMOSPHERIC RESEARCH, 2021, 248 (248)
  • [2] An Appraisal of Dynamic Bayesian Model Averaging-based Merged Multi-Satellite Precipitation Datasets Over Complex Topography and the Diverse Climate of Pakistan
    Rahman, Khalil Ur
    Shang, Songhao
    Shahid, Muhammad
    Wen, Yeqiang
    REMOTE SENSING, 2020, 12 (01)
  • [3] Evaluation of Multiple Satellite-Based Precipitation Products over Complex Topography
    Derin, Yagmur
    Yilmaz, Koray K.
    JOURNAL OF HYDROMETEOROLOGY, 2014, 15 (04) : 1498 - 1516
  • [4] Multiscale Ground Validation of Satellite and Reanalysis Precipitation Products over Diverse Climatic and Topographic Conditions
    Nadeem, Muhammad Umer
    Ghanim, Abdulnoor A. J.
    Anjum, Muhammad Naveed
    Shangguan, Donghui
    Rasool, Ghulam
    Irfan, Muhammad
    Niazi, Usama Muhammad
    Hassan, Sharjeel
    REMOTE SENSING, 2022, 14 (18)
  • [5] Validation of satellite and ground-based estimates of precipitation over the Sahel
    Laurent, H
    Jobard, I
    Toma, A
    ATMOSPHERIC RESEARCH, 1998, 48 : 651 - 670
  • [6] Validation of Satellite Precipitation Estimates over the Congo Basin
    Nicholson, S. E.
    Klotter, D.
    Zhou, L.
    Hua, W.
    JOURNAL OF HYDROMETEOROLOGY, 2019, 20 (04) : 631 - 656
  • [7] Evaluation of Satellite-Based Precipitation Products over Complex Topography in Mountainous Southwestern China
    Tang, Xuan
    Li, Hongxia
    Qin, Guanghua
    Huang, Yuanyuan
    Qi, Yongliang
    REMOTE SENSING, 2023, 15 (02)
  • [8] Assessing the potential and hydrological usefulness of the CHIRPS precipitation dataset over a complex topography in Pakistan
    Shahid, Muhammad
    Rahman, Khalil Ur
    Haider, Sajjad
    Gabriel, Hamza Farooq
    Khan, Abdul Jabbar
    Quoc Bao Pham
    Mohammadi, Babak
    Nguyen Thi Thuy Linh
    Duong Tran Anh
    HYDROLOGICAL SCIENCES JOURNAL, 2021, 66 (11) : 1664 - 1684
  • [9] Assessment of Merged Satellite Precipitation Datasets in Monitoring Meteorological Drought over Pakistan
    Rahman, Khalil Ur
    Shang, Songhao
    Zohaib, Muhammad
    REMOTE SENSING, 2021, 13 (09)
  • [10] Validation of Satellite-Based Precipitation Products over Sparsely Gauged African River Basins
    Thiemig, Vera
    Rojas, Rodrigo
    Zambrano-Bigiarini, Mauricio
    Levizzani, Vincenzo
    De Roo, Ad
    JOURNAL OF HYDROMETEOROLOGY, 2012, 13 (06) : 1760 - 1783