Ground validation of diurnal TRMM 3B42 V7 and GPM precipitation products over the northeast of Iran
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ORIGINAL PAPER
Ground validation of diurnal TRMM 3B42 V7 and GPM precipitation products over the northeast of Iran Zahra Shirmohammadi-Aliakbarkhani 1
&
Abolghasem Akbari 2,3
Received: 28 May 2019 / Accepted: 15 September 2020 # Springer-Verlag GmbH Austria, part of Springer Nature 2020
Abstract Water resources planning and design always deal with precipitation estimation and measurements. In arid and semi-arid climates of developing countries with inadequate numbers of rainfall stations, satellite data become increasingly important. The main objective of this research is to assess the daily rainfall data from the Tropical Rainfall Measurement Mission (TRMM-3B42 V7) and Global Precipitation Measurement (GPM) products with rain-gauge data over a semiarid climate. The study was carried out in Khorasan Razavi Province located in northeast of Iran which is relatively very well equipped with synoptic rainfall stations. Daily rainfall data from 13 stations were collected for a period of 4 years, starting from Feb 2015 to Nov 2018 and compared with the available daily GPM and TRMM-3B42 V7 data. The comparison was performed on daily, monthly, and seasonal timescales. All satellite precipitation products (SPPs) correlated well with measurements from rain-gauge data on the monthly timescale, but moderately on the daily timescale. However, the TRMM data were found slightly better than GPM products. On the seasonal scale, it was found that all SPPs correlated well with measurements from gauges in spring, summer, and winter but in fall, TRMM products outperformed GPM. The GPM products slightly overestimated the data in all of the season except fall, but the TRMM products tended to underestimate the values in all of the seasons except spring. It was found that the TRMM data made a significant improvement in precipitation estimation and could potentially be one of the reliable sources of data for daily-based hydrological modeling in northeast of Iran.
1 Introduction Determining spatial variations of rainfall over the watershed is an important step in semi-distributed hydrological modeling. It has also been well documented that rainfall characteristics including depth, intensity, and frequency have a direct impact on water resources management, floods, and drought forecasting.
* Zahra Shirmohammadi-Aliakbarkhani [email protected] Abolghasem Akbari [email protected] 1
Department of Water Science and Engineering, University of Torbat-e Jam, PO box 9571875335, Torbat-e Jam, Khorasan Razavi, Iran
2
Department of Civil Engineering, Binaloud Institute of Higher Education, Mashhad, Iran
3
University of Torbat-e Jam, Torbat-e Jam, Iran
Accurate estimation of rainfall in most developing countries is a crucial part of hydrological modeling due to the scarcity and inadequate number of rain gauges. Recent advances in weather and climate modeling coupled with earth observation technology have contributed to a significant progress in estimating temporal and spatial variations of precipitation over the space with relativel
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