Assimilation of GPM-Retrieved Marine Surface Meteorology Variables for Two Winter Storms
No abstract available
Li, Xuanli↗
Engineering topics
Li, Xuanli
Publications and source records attributed to Li, Xuanli.
Assimilation of CYGNSS Wind Speed for Tropical Convection During 2018 MJO Onset
No abstract available
Li, Xuanli↗
Assimilation of GPM-Retrieved Marine Surface Meteorology Data for Winter Storms During 2018 Olympic and Paralympic Winter Games
The WMO’s World Weather Research Program (WWRP) Research and Development and Forecast Demonstration Projects (RDP/FDP). Taken place during the Winter Olympics (February-March) of 2018. Focused on the measurement, physics, and improved prediction of heavy orographic snow in the Pyeong Chang region of South Korea.
Li, Xuanli↗
Recent Progress in Using CYGNSS to Investigate Relationships Between Wind-Driven Surface Fluxes and Tropical Oceanic Convection
No abstract available
Lang, Timothy↗
Assimilation of GPM Retrieved Surface Meteorology Variables with ICE-POP Case Studies
Built upon Tropical Rainfall Measuring Mission (TRMM) legacy for next-generation global observation of rain and snow. The GPM has a broad global coverage ~70°S – 70°N with a swath of 245/125-km for the Ka (35.5 GHz)/Ku (13.6 GHz) band radar, and 850-km for the 13-channel GMI. GPM also features better retrievals for heavy, moderate, and light rain and snowfall.
GPM retrieval product↗
Real-Time NWP Simulations during the ICE-POP Field Campaign using the NASA Unified-WRF Modeling System
No abstract available
remote sensing↗
Examining Tropical Oceanic Convection Using IMERG and CYGNSS
The Cyclone Global Navigation Satellite System (CYGNSS) is a multi-satellite constellation that measures ocean wind speed using GPS reflectometry. CYGNSS wind measurements are not as impacted by rainfall, making them useful in and near tropical convective systems. Combining IMERG with CYGNSS enables the study of wind-precipitation interactions in convection, and shipborne radar can provide context for these analyses.
CYGNSS↗
Impact of GPM Rainrate Data Assimilation on Simulation of Hurricane Harvey (2017)
Built upon Tropical Rainfall Measuring Mission (TRMM) legacy for next-generation global observation of rain and snow. The GPM was launched in February 2014 with Dual-frequency Precipitation Radar (DPR) and GPM Microwave Imager (GMI) onboard. The GPM has a broad global coverage approximately 70deg S -70deg N with a swath of 245/125-km for the Ka (35.5 GHz)/Ku (13.6 GHz) band radar, and 850-km for the 13-channel GMI. GPM also features better retrievals for heavy, moderate, and light rain and snowfall To develop methodology to assimilate GPM surface precipitation data with Grid-point Statistical Interpolation (GSI) data assimilation system and WRF ARW model To investigate the potential and the value of utilizing GPM observation into NWP for operational environment The GPM rain rate data has been successfully assimilated using the GSI rain data assimilation package. Impacts of rain rate data have been found in temperature and moisture fields of initial conditions. 2.Assimilation of either GPM IMERG or GPROF rain product produces significant improvement in precipitation amount and structure for Hurricane Harvey (2017) forecast. Since IMERG data is available half-hourly, further forecast improvement is expected with continuous assimilation of IMERG data
Precipitation↗
Analysis and Assimilation of CYGNSS Wind Data for Improved Tropical Convection Forecasts
No abstract available
Winds↗
The Cyclone Global Navigation Satellite System (CYGNSS) - Analysis and Data Assimilation for Tropical Convection
Cyclone Global Navigation Satellite System (CYGNSS): a constellation of 8 micro-satellite observatories launched in November 2016, to measure near-surface oceanic wind speed. Main goal: To monitor surface wind fields of the Tropical Cyclones' inner core, including regions beneath the intense eye wall and rain bands that could not previously be measured from space; Cover 38 deg S -38 deg N with unprecedented temporal resolution and spatial coverage, under all precipitating conditions Low flying satellite: Pass over ocean surface more frequently than one large satellite. A median(mean) revisit time of 2.8(7.2) hrs.
CYGNSS↗
Assimilation of GPM GMI Rainrate Product with Community GSI and Case Study Result
No abstract available
data assimilation↗
Using CYGNSS to Observe Convectively Driven Near-Surface Winds in Tropical Precipitation Systems During Madden-Julian Oscillation Events
The Cyclone Global Navigation OKLMA 1411 UTC Satellite System (CYGNSS) is a multi-satellite constellation that launched 15 December 2016. The primary objective of CYGNSS is to use bistatic Global Positioning System (GPS) reflectometry to accurately measure near-surface wind speeds within the heavily raining inner core of tropical cyclones. CYGNSS also features rapid revisit times over a given region in the tropics - ranging from several minutes to a few hours, depending on the constellation geometry at that time. Despite the focus on tropical cyclones, the ability of CYGNSS to provide rapid updates of winds, unbiased by the presence of precipitation, has many other potential applications related to general tropical convection.
Convection↗
On the Use of CYGNSS to Observe Convectively Driven Near-Surface Winds in Tropical Precipitation Systems
No abstract available
CYGNSS↗