TY - JOUR
T1 - Global variation of COSMIC precipitable water over land
T2 - Comparisons with ground-based GPS measurements and NCEP reanalyses
AU - Huang, Ching Yuang
AU - Teng, Wen Hsin
AU - Ho, Shu Peng
AU - Kuo, Ying Hwa
PY - 2013/10/16
Y1 - 2013/10/16
N2 - Radio occultation (RO) observations of precipitable water (PW) from the Constellation Observing System for Meteorology, Ionosphere, and Climate (COSMIC) are compared with ground-based Global Positioning System (GPS) PW for 6 years (2007-2012). From comparisons of more than 120,000 collocated samples, differences in PW between RO and GPS exhibit a standard deviation of less than 3 mm with a global correlation of 0.96 to 0.97. The monthly mean RO PW is also compared to the National Centers for Environmental Prediction (NCEP) reanalyses. PWs over land for RO, GPS, and reanalyses are highly correlated in each hemisphere. We also used the RO data to explore the variation of the monthly mean PW in four regions (Tibetan Plateau, central Australia, Amazon Basin, and central Africa) where ground stations are few. This study highlights the characteristics of these PW climatologies, suggesting that the RO data are useful complements to global reanalyses and other data sets. Key Points Comparison between COSMIC PW and ground-based PW shows a correlation of 0.97 COSMIC RO data can improve global monitoring of PW over lands COSMIC RO data explore the evolution of monthly mean PW in four regions
AB - Radio occultation (RO) observations of precipitable water (PW) from the Constellation Observing System for Meteorology, Ionosphere, and Climate (COSMIC) are compared with ground-based Global Positioning System (GPS) PW for 6 years (2007-2012). From comparisons of more than 120,000 collocated samples, differences in PW between RO and GPS exhibit a standard deviation of less than 3 mm with a global correlation of 0.96 to 0.97. The monthly mean RO PW is also compared to the National Centers for Environmental Prediction (NCEP) reanalyses. PWs over land for RO, GPS, and reanalyses are highly correlated in each hemisphere. We also used the RO data to explore the variation of the monthly mean PW in four regions (Tibetan Plateau, central Australia, Amazon Basin, and central Africa) where ground stations are few. This study highlights the characteristics of these PW climatologies, suggesting that the RO data are useful complements to global reanalyses and other data sets. Key Points Comparison between COSMIC PW and ground-based PW shows a correlation of 0.97 COSMIC RO data can improve global monitoring of PW over lands COSMIC RO data explore the evolution of monthly mean PW in four regions
KW - COSMIC
KW - PW
UR - https://www.scopus.com/pages/publications/84884740874
U2 - 10.1002/grl.50885
DO - 10.1002/grl.50885
M3 - Article
AN - SCOPUS:84884740874
SN - 0094-8276
VL - 40
SP - 5327
EP - 5331
JO - Geophysical Research Letters
JF - Geophysical Research Letters
IS - 19
ER -