Publication Date:
2019-07-13
Description:
This study examines the benefit of assimilating cloud motion vector (CMV) wind observations obtained from the Multi-angle Imaging SpectroRadiometer (MISR) within a Modern-Era Retrospective Analysis for Research and Applications-2 (MERRA2) configuration of the Goddard Earth Observing System-5 (GEOS-5) model Data Assimilation System (DAS). Available in near real time (NRT) and with a record dating back to 1999, MISR CMVs boast pole-to-pole coverage and geometric height assignment that is complementary to the suite of Atmospheric Motion Vectors (AMVs) included in the MERRA2 standard. Experiments spanning September-October-November of 2014 and March-April-May of 2015 estimated relative MISR CMV impact on the 24-hour forecast error reduction with an adjoint based forecast sensitivity method. MISR CMV were more consistently beneficial and provided twice as large a mean forecast benefit when larger uncertainties were assigned to the less accurate component of the CMV oriented along the MISR satellite ground track, as opposed to when equal uncertainties were assigned to the eastward and northward components as in previous studies. Assimilating only the cross-track component provided 60 of the benefit of both components. When optimally assimilated, MISR CMV proved broadly beneficial throughout the Earth, with greatest benefit evident at high latitudes where there is a confluence of more frequent CMV coverage and gaps in coverage from other MERRA2 wind observations. Globally, MISR represented 1.6% of the total forecast benefit, whereas regionally that percentage was as large as 3.7%.
Keywords:
Meteorology and Climatology
Type:
GSFC-E-DAA-TN47680
,
Monthly Weather Review (ISSN 0027-0644) (e-ISSN 1520-0493); 145; 12; 4937-4947
Format:
application/pdf
