A framework for developing a spatial high-resolution daily precipitation dataset over a data-sparse region
This paper outlines a framework in order to provide a reliable and up-to date local precipitation dataset over Sistan and Baluchestan province, one of the poorly rain gauged areas in Iran. Initially, the accuracy of GPCC data, as the reference dataset, was evaluated. Next, the performance of eight g...
Main Authors: | Farhad Yazdandoost, Sogol Moradian, Ardalan Izadi, Alireza Massah Bavani |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2020-09-01
|
Series: | Heliyon |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2405844020319344 |
Similar Items
-
Pattern Recognition of High O3 Episodes in Forecasting Daily Maximum Ozone Levels
by: Jeong-Sook Heo, et al.
Published: (2004-01-01) -
Analysis of Terminal Velocity and VHF Backscatter of Precipitation Particles Using Chung-Li VHF Radar Combined with Ground-Based Disdrometer
by: Ching-Lun Su and Yen-Hsyang Chu
Published: (2007-01-01) -
Origin and residence time of shallow groundwater resources in Lagos coastal basin, south-west Nigeria: An isotopic approach
by: M.A. Yusuf, et al.
Published: (2018-11-01) -
A Study of Tropospheric Ozone over China with a 3-D Global CTM Model
by: Li Liu, et al.
Published: (2007-01-01) -
b-Values Observations in Taiwan: A Review
by: Jeen-Hwa Wang, et al.
Published: (2015-01-01)