TY - JOUR
T1 - Current Status and Future Challenges of Weather Radar Polarimetry
T2 - Bridging the Gap between Radar Meteorology/Hydrology/Engineering and Numerical Weather Prediction
AU - Zhang, Guifu
AU - Mahale, Vivek N.
AU - Putnam, Bryan J.
AU - Qi, Youcun
AU - Cao, Qing
AU - Byrd, Andrew D.
AU - Bukovcic, Petar
AU - Zrnic, Dusan S.
AU - Gao, Jidong
AU - Xue, Ming
AU - Jung, Youngsun
AU - Reeves, Heather D.
AU - Heinselman, Pamela L.
AU - Ryzhkov, Alexander
AU - Palmer, Robert D.
AU - Zhang, Pengfei
AU - Weber, Mark
AU - Mcfarquhar, Greg M.
AU - Moore, Berrien
AU - Zhang, Yan
AU - Zhang, Jian
AU - Vivekanandan, J.
AU - Al-Rashid, Yasser
AU - Ice, Richard L.
AU - Berkowitz, Daniel S.
AU - Tong, Chong chi
AU - Fulton, Caleb
AU - Doviak, Richard J.
N1 - Publisher Copyright:
© 2019, The Author(s).
PY - 2019/6/1
Y1 - 2019/6/1
N2 - After decades of research and development, the WSR-88D (NEXRAD) network in the United States was upgraded with dual-polarization capability, providing polarimetric radar data (PRD) that have the potential to improve weather observations, quantification, forecasting, and warnings. The weather radar networks in China and other countries are also being upgraded with dual-polarization capability. Now, with radar polarimetry technology having matured, and PRD available both nationally and globally, it is important to understand the current status and future challenges and opportunities. The potential impact of PRD has been limited by their oftentimes subjective and empirical use. More importantly, the community has not begun to regularly derive from PRD the state parameters, such as water mixing ratios and number concentrations, used in numerical weather prediction (NWP) models. In this review, we summarize the current status of weather radar polarimetry, discuss the issues and limitations of PRD usage, and explore potential approaches to more efficiently use PRD for quantitative precipitation estimation and forecasting based on statistical retrieval with physical constraints where prior information is used and observation error is included. This approach aligns the observation-based retrievals favored by the radar meteorology community with the model-based analysis of the NWP community. We also examine the challenges and opportunities of polarimetric phased array radar research and development for future weather observation.
AB - After decades of research and development, the WSR-88D (NEXRAD) network in the United States was upgraded with dual-polarization capability, providing polarimetric radar data (PRD) that have the potential to improve weather observations, quantification, forecasting, and warnings. The weather radar networks in China and other countries are also being upgraded with dual-polarization capability. Now, with radar polarimetry technology having matured, and PRD available both nationally and globally, it is important to understand the current status and future challenges and opportunities. The potential impact of PRD has been limited by their oftentimes subjective and empirical use. More importantly, the community has not begun to regularly derive from PRD the state parameters, such as water mixing ratios and number concentrations, used in numerical weather prediction (NWP) models. In this review, we summarize the current status of weather radar polarimetry, discuss the issues and limitations of PRD usage, and explore potential approaches to more efficiently use PRD for quantitative precipitation estimation and forecasting based on statistical retrieval with physical constraints where prior information is used and observation error is included. This approach aligns the observation-based retrievals favored by the radar meteorology community with the model-based analysis of the NWP community. We also examine the challenges and opportunities of polarimetric phased array radar research and development for future weather observation.
KW - data assimilation
KW - forward operator
KW - microphysics parameterization
KW - numerical weather prediction
KW - radar meteorology
KW - weather radar polarimetry
UR - https://www.scopus.com/pages/publications/85064256872
U2 - 10.1007/s00376-019-8172-4
DO - 10.1007/s00376-019-8172-4
M3 - Review article
AN - SCOPUS:85064256872
SN - 0256-1530
VL - 36
SP - 571
EP - 588
JO - Advances in Atmospheric Sciences
JF - Advances in Atmospheric Sciences
IS - 6
ER -