Lifeng Luo | Michigan State University (original) (raw)

Papers by Lifeng Luo

A series of climate extreme events affected many parts of the US during 2011, including the sever... more A series of climate extreme events affected many parts of the US during 2011, including the severe drought in Texas, the spring tornado outbreak in the southern states, and the weeklong summer heat wave in the Central Plains. Successful prediction of these events can better inform and prepare the general public to cope with these extremes. In this study, we investigate the operational capability of the new NCEP Climate Forecast System (CFSv2) in predicting the 2011 summer heat wave.

Abstract The second phase of the Global Land-Atmosphere Coupling Experiment (GLACE-2) is a multi-... more Abstract The second phase of the Global Land-Atmosphere Coupling Experiment (GLACE-2) is a multi-institutional numerical modeling experiment focused on quantifying, for boreal summer, the subseasonal (out to two months) forecast skill for precipitation and air temperature that can be derived from the realistic initialization of land surface states, notably soil moisture.

Droughts are as much a part of weather and climate extremes as floods, hurricanes and tornadoes, ... more Droughts are as much a part of weather and climate extremes as floods, hurricanes and tornadoes, but are the most costly extremes among all natural disasters in the US [Ross and Lott, 2003]. The estimated annual direct losses to the US economy due to droughts are about 6–6–6–8 billion, with the drought of 1988 estimated to have damages over $39 billion [Federal Emergency Management Agency, 1995].

The multi-agency/university North American Land Data Assimilation System (N-LDAS) project is desi... more The multi-agency/university North American Land Data Assimilation System (N-LDAS) project is designed to provide enhanced soil and temperature initial conditions for numerical weather/climate prediction models by using real-time observed precipitation and solar insolation data. Currently four different land surface models (LSMs) are running in N-LDAS in both retrospective mode as well as in realtime. All LSMs are initiated at the same time with the same relative soil wetness.

NOAA's National Centers for Environmental Prediction (NCEP) has transitioned to operationally use... more NOAA's National Centers for Environmental Prediction (NCEP) has transitioned to operationally use the second generation of their coupled ocean-atmosphere-land model, the Climate Forecast System version 2 (CFSv2), with advanced physics, increased resolution and refined initialization to improve the seasonal climate forecasts. We present a first look at the capability of CFSv2 on surface air temperature and precipitation predictions based on analyzing the 28-year (1982–2009) reforecasts.

As part of the World Climate Research Program's (WCRPs) Global Energy and Water-Cycle Experiment ... more As part of the World Climate Research Program's (WCRPs) Global Energy and Water-Cycle Experiment (GEWEX) Continental-scale International Project (GCIP), a preliminary water and energy budget synthesis (WEBS) was developed for the period 1996–1999 from the “best available” observations and models.

Abstract Results are presented from the multi-institution partnership to develop a realtime and r... more Abstract Results are presented from the multi-institution partnership to develop a realtime and retrospective North American Land Data Assimilation System (NLDAS). NLDAS consists of a) four land models executing in parallel in uncoupled mode, b) common hourly land surface forcing and c) common streamflow routing--all using a 1/8 grid over the continental US

• Soil texture is as important as vegetation in the land surface model simulations.• Soil texture... more • Soil texture is as important as vegetation in the land surface model simulations.• Soil texture data set used by LDAS is based on 1 km Penn State STATSGO and 5 min ARS FAO data.• At Oklahoma Mesonet and ARM/CART stations, soil texture information is also available.

North American Land Data Assimilation System (NLDAS) land surface models have been run for a retr... more North American Land Data Assimilation System (NLDAS) land surface models have been run for a retrospective period forced by atmospheric observations from the Eta analysis and actual precipitation and downward solar radiation to calculate land hydrology.

In support of the World Climate Research Program GEWEX Continental-Scale International Project (G... more In support of the World Climate Research Program GEWEX Continental-Scale International Project (GCIP) and the GEWEX Americas Prediction Project (GAPP), real-time estimates of shortwave radiative fluxes, both at the surface and at the top of the atmosphere, are being produced operationally by the National Oceanic and Atmospheric Administration (NOAA)/National Environmental Satellite Data and Information Service using observations from GOES images.

Journal of Geophysical Research-Atmospheres, Jan 1, 2004