TY - JOUR
T1 - Toward improving ice water content and snow-rate retrievals from radars. Part I
T2 - X and W bands, emphasizing cloudsat
AU - Heymsfield, Andrew J.
AU - Matrosov, Sergey Y.
AU - Wood, Norman B.
N1 - Publisher Copyright:
© 2016 American Meteorological Society.
PY - 2016/9/1
Y1 - 2016/9/1
N2 - Microphysical data and radar reflectivities (Ze, -15 < Ze < 10 dB) measured from flights during the NASA Tropical Clouds, Convection, Chemistry and Climate field program are used to relate Ze at X and W band to measured ice water content (IWC). Because nearly collocated Ze and IWC were each directly measured, Ze-IWC relationships could be developed directly. Using the particle size distributions and ice particle masses evaluated based on the direct IWC measurements, reflectivity-snowfall rate (Ze-S) relationships were also derived. For -15 < Ze < 10 dB, the relationships herein yield larger IWC and S than given by the retrievals and earlier relationships. The sensitivity of radar reflectivity to particle size distribution and size-dependent mass, shape, and orientation introduces significant uncertainties in retrieved quantities since these factors vary substantially globally. To partially circumvent these uncertainties, a W-band Ze-S relationship is developed by relating four years of global CloudSat reflectivity observations measured immediately above the melting layer to retrieved rain rates at the base of the melting layer. The supporting assumptions are that the water mass flux is constant through the melting layer, that the air temperature is nearly 0°C, and that the retrieved rain rates are well constrained. Where Ze > 10 dB, this Ze-S relationship conforms well to earlier relationships, but for Ze < 10 dB it yields higher IWC and S. Because not all retrieval algorithms estimate either or both IWC and S, the authors use a large aircraft-derived dataset to relate IWC and S. The IWC can then be estimated from S and vice versa.
AB - Microphysical data and radar reflectivities (Ze, -15 < Ze < 10 dB) measured from flights during the NASA Tropical Clouds, Convection, Chemistry and Climate field program are used to relate Ze at X and W band to measured ice water content (IWC). Because nearly collocated Ze and IWC were each directly measured, Ze-IWC relationships could be developed directly. Using the particle size distributions and ice particle masses evaluated based on the direct IWC measurements, reflectivity-snowfall rate (Ze-S) relationships were also derived. For -15 < Ze < 10 dB, the relationships herein yield larger IWC and S than given by the retrievals and earlier relationships. The sensitivity of radar reflectivity to particle size distribution and size-dependent mass, shape, and orientation introduces significant uncertainties in retrieved quantities since these factors vary substantially globally. To partially circumvent these uncertainties, a W-band Ze-S relationship is developed by relating four years of global CloudSat reflectivity observations measured immediately above the melting layer to retrieved rain rates at the base of the melting layer. The supporting assumptions are that the water mass flux is constant through the melting layer, that the air temperature is nearly 0°C, and that the retrieved rain rates are well constrained. Where Ze > 10 dB, this Ze-S relationship conforms well to earlier relationships, but for Ze < 10 dB it yields higher IWC and S. Because not all retrieval algorithms estimate either or both IWC and S, the authors use a large aircraft-derived dataset to relate IWC and S. The IWC can then be estimated from S and vice versa.
KW - Aircraft observations
KW - Algorithms
KW - Cloud retrieval
KW - Observational techniques and algorithms
KW - Radars/radar observations
KW - Satellite observations
UR - https://www.scopus.com/pages/publications/84990841881
U2 - 10.1175/JAMC-D-15-0290.1
DO - 10.1175/JAMC-D-15-0290.1
M3 - Article
AN - SCOPUS:84990841881
SN - 1558-8424
VL - 55
SP - 2063
EP - 2090
JO - Journal of Applied Meteorology and Climatology
JF - Journal of Applied Meteorology and Climatology
IS - 9
ER -