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11篇 您的检索式：作者名="BENNARTZ"

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		题名	作者	年代	出处	被引量
	1	Remote sensing of at- mospheric watervapor using the moderatere solution imaging spectroradiometer 显示文摘	Albert P Bennartz R Preusker R	2005	J Atmos Oceanic Technology2005，22，3：	1
	2	Remote sensing of atmospheric water vapor using the Moderate Resolution Imaging Spectroradiometer显示文摘	ABERT P BENNARTZ R PREUSKER R		0，，22：	1
	3	Outlook for combined TMI-VIRS algorithms for TRMM: Lessons learned from the PIP and AlP projects显示文摘	Bauer P Schanz L Bennartz R	1998	Journal of Atmosphere Science1998，55，：	1
	4	Remote sensing of atmospheric water vapor using the Moderate Resolution Imaging Spectroradiometer(MODIS)显示文摘	ALBERT P BENNARTZ R PREUSKER R	2005	Journal of Atmospheric and Oceanic Technology2005，22，：	1
	5	Aerosol influence on polarization and intensity in near-infrared 02 and CO2 absorption bands observed from space 显示文摘	Boesche Eyk Stammes Pier Bennartz Ralf	2009	Journal of Quantitative Spectro- scopy & Radiative Transfer2009，110，：	1
	6	Remote sensing of atmospheric water vapor using the moderate resolution imaging spectroradiome- ter显示文摘	Albert P Bennartz R Preusker R	2005	J Atmos Oceanic Technol2005，22，3：	1
	7	Global assessment of marine boundary layer cloud droplet number concentration from satellite 显示文摘	Bennartz R	2007	Journal of Geophysical Research : Atmospheres2007，112，02：	1
	8	Remote sensing of atmospheric water vapor using the moderate resolution imaging spectroradiometer显示文摘	Albert P R Bennartz R Preusker	2005	J Atmos Oceanic Technology2005，22，3：	1
	9	Retrieval of columnar water vapor over land from backscattered solar radiation using the medium resolution imaging spectrometer 显示文摘	BENNARTZ R FSCHER J	2001	Remote Sensing of Environment2001，78，4：	1
	10	Remote Sensing of Atmospheric Water Vapor from Backscattered Sunlight in Cloudy Atmospheres显示文摘	Albert P Bennartz R Fischer J	2001	J of Atm and Ocea Techn2001，18，6：	1
	11	Rainfall Algorithms Using Oceanic Satellite Observations from MWHS-2显示文摘This paper describes three algorithms for retrieving precipitation over oceans from brightness temperatures (TBs) of the Micro-Wave Humidity Sounder-2 (MHWS-2) onboard Fengyun-3C (FY-3C). For algorithm development, scattering- induced TB depressions (ΔTBs) of MWHS-2 at channels between 89 and 190 GHz were collocated to rain rates derived from measurements of the Global Precipitation Measurement’s Dual-frequency Precipitation Radar (DPR) for the year 2017. ΔTBs were calculated by subtracting simulated cloud-free TBs from bias-corrected observed TBs for each channel. These ΔTBs were then related to rain rates from DPR using (1) multilinear regression (MLR);the other two algorithms, (2) range searches (RS) and (3) nearest neighbor searches (NNS), are based on k-dimensional trees. While all three algorithms produce instantaneous rain rates, the RS algorithm also provides the probability of precipitation and can be understood in a Bayesian framework. Different combinations of MWHS-2 channels were evaluated using MLR and results suggest that adding 118 GHz improves retrieval performance. The optimal combination of channels excludes high-peaking channels but includes 118 GHz channels peaking in the mid and high troposphere. MWHS-2 observations from another year were used for validation purposes. The annual mean 2.5° × 2.5° gridded rain rates from the three algorithms are consistent with those from the Global Precipitation Climatology Project (GPCP) and DPR. Their correlation coefficients with GPCP are 0.96 and their biases are less than 5%. The correlation coefficients with DPR are slightly lower and the maximum bias is ~8%, partly due to the lower sampling density of DPR compared to that of MWHS-2.	Ruiyao CHEN Ralf BENNARTZ	2021	Advances in Atmospheric Sciences2021，38，8：	0

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