TY - JOUR
T1 - Consistency of precipitation products over the Arabian Peninsula and interactions with soil moisture and water storage
AU - Wehbe, Youssef
AU - Temimi, Marouane
AU - Ghebreyesus, Dawit T.
AU - Milewski, Adam
AU - Norouzi, Hamid
AU - Ibrahim, Elsy
N1 - Publisher Copyright:
© 2018 IAHS.
PY - 2018/2/17
Y1 - 2018/2/17
N2 - The regional-scale consistency between four precipitation products from the GPCC, TRMM, WM, and CMORPH datasets over the Arabian Peninsula was assessed. Their macroscale relationships were inter-compared with soil moisture and total water storage (TWS) estimates from AMSR-E and GRACE. The consistency analysis was studied with multivariate statistical hypothesis testing and Pearson correlation metrics for the period from January 2000 to December 2010. The products and GRACE estimates were assessed over a representative sub-domain (United Arab Emirates) with available in situ well observations. Next, geographically temporally weighted regression (GTWR) was employed to examine the interdependencies among the peninsula’s hydrological components. The results showed GPCC-TRMM recording the highest correlation (0.85) with insignificant mean differences over more than 90% of the peninsula. The highest GTWR predictive performance of TWS (R2 = 0.84) was achieved with TRMM forcing, which indicates its potential to monitor changes in TWS over the arid peninsular region.
AB - The regional-scale consistency between four precipitation products from the GPCC, TRMM, WM, and CMORPH datasets over the Arabian Peninsula was assessed. Their macroscale relationships were inter-compared with soil moisture and total water storage (TWS) estimates from AMSR-E and GRACE. The consistency analysis was studied with multivariate statistical hypothesis testing and Pearson correlation metrics for the period from January 2000 to December 2010. The products and GRACE estimates were assessed over a representative sub-domain (United Arab Emirates) with available in situ well observations. Next, geographically temporally weighted regression (GTWR) was employed to examine the interdependencies among the peninsula’s hydrological components. The results showed GPCC-TRMM recording the highest correlation (0.85) with insignificant mean differences over more than 90% of the peninsula. The highest GTWR predictive performance of TWS (R2 = 0.84) was achieved with TRMM forcing, which indicates its potential to monitor changes in TWS over the arid peninsular region.
KW - Arabian Peninsula
KW - land surface emissivity
KW - rainfall products
KW - soil moisture
KW - spatial consistency
KW - water storage
UR - http://www.scopus.com/inward/record.url?scp=85042065968&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85042065968&partnerID=8YFLogxK
U2 - 10.1080/02626667.2018.1431647
DO - 10.1080/02626667.2018.1431647
M3 - Article
AN - SCOPUS:85042065968
SN - 0262-6667
VL - 63
SP - 408
EP - 425
JO - Hydrological Sciences Journal
JF - Hydrological Sciences Journal
IS - 3
ER -