TY - JOUR
T1 - Use of four-dimensional data assimilation in a limited-area mesoscale model Part II
T2 - effects of data assimilation within the planetary boundary layer
AU - Stauffer, D. R.
AU - Seaman, N. L.
AU - Binkowski, F. S.
N1 - Copyright:
Copyright 2018 Elsevier B.V., All rights reserved.
PY - 1991
Y1 - 1991
N2 - The data used for assimilation include conventional synoptic-scale rawinsonde data and mesoalpha-scale surface data. The main objective of this study is to determine how to effectively utilize the combined strength of these two simple data systems while avoiding their individual weaknesses. Ten experiments, which use a 15-layer version of the model, are evaluated for two midlatitude, real-data cases. Overall, the best dynamic analyses of precipitation, PBL depth, surface layer temperature, and tropospheric mass and wind fields were obtained by nudging to analyses of rawinsonde wind, temperature, and moisture above the model PBL and to analyses of surface-layer wind and moisture within the model PBL -from Authors
AB - The data used for assimilation include conventional synoptic-scale rawinsonde data and mesoalpha-scale surface data. The main objective of this study is to determine how to effectively utilize the combined strength of these two simple data systems while avoiding their individual weaknesses. Ten experiments, which use a 15-layer version of the model, are evaluated for two midlatitude, real-data cases. Overall, the best dynamic analyses of precipitation, PBL depth, surface layer temperature, and tropospheric mass and wind fields were obtained by nudging to analyses of rawinsonde wind, temperature, and moisture above the model PBL and to analyses of surface-layer wind and moisture within the model PBL -from Authors
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U2 - 10.1175/1520-0493(1991)119<0734:UOFDDA>2.0.CO;2
DO - 10.1175/1520-0493(1991)119<0734:UOFDDA>2.0.CO;2
M3 - Article
AN - SCOPUS:0026306406
SN - 0027-0644
VL - 119
SP - 734
EP - 754
JO - Monthly Weather Review
JF - Monthly Weather Review
IS - 3
ER -