A microwave satellite water vapour column retrieval for polar winter conditions
نویسندگان
چکیده
A new microwave satellite water vapour retrieval for the polar winter atmosphere is presented. The retrieval builds on the work of Miao et al. (2001) and Melsheimer and Heygster (2008), employing auxiliary information for atmospheric conditions and numerical optimization. It was tested using simulated and actual measurements from the Microwave Humidity Sounder (MHS) satellite instruments. Ground truth was provided by the G-band vapour radiometer (GVR) at Barrow, Alaska. For water vapour columns less than 6kgm−2, comparisons between the retrieval and GVR result in a root mean square (RMS) deviation of 0.39kgm−2 and a systematic bias of 0.08kgm−2. These results are compared with RMS deviations and biases at Barrow for the retrieval of Melsheimer and Heygster (2008), the AIRS and MIRS satellite data products, and the ERA-Interim, NCEP, JRA-55, and ASR reanalyses. When applied to MHS measurements, the new retrieval produces a smaller RMS deviation and bias than for the earlier retrieval and satellite data products. The RMS deviations for the new retrieval were comparable to those for the ERA-Interim, JRA-55, and ASR reanalyses; however, the MHS retrievals have much finer horizontal resolution (15km at nadir) and reveal more structure. The new retrieval can be used to obtain pan-Arctic maps of water vapour columns of unprecedented quality. It may also be applied to measurements from the Special Sensor Microwave/Temperature 2 (SSM/T2), Advanced Microwave Sounding Unit B (AMSU-B), Special Sensor Microwave Imager/Sounder (SSMIS), Advanced Technology Microwave Sounder (ATMS), and Chinese MicroWave Humidity Sounder (MWHS) instruments.
منابع مشابه
Interactive comment on “A microwave satellite water vapour column retrieval for polar winter conditions” by C. Perro et al
Referee: This article describes an updated retrieval method to obtain water vapour columns in polar regions from the MHS and AMSU-B instruments. The improvements to current methods are described and the new method tested against synthetic and real data. The new method involves using a-priori information and iterating a radiative transfer model to optimise the optical depth profile by scaling th...
متن کاملMicrowave satellite water vapour column retrieval
Introduction Conclusions References Tables Figures
متن کاملRetrieval of daytime total columnar water vapour from MODIS measurements over land surfaces
A retrieval of total column water vapour (TCWV) from MODIS (Moderate-resolution Imaging Spectroradiometer) measurements is presented. The algorithm is adapted from a retrieval for MERIS (Medium Resolution Imaging Spectrometer) from Lindstrot et al. (2012). It obtains the TCWV for cloud-free scenes above land at a spatial resolution of 1 km× 1 km and provides uncertainties on a pixel-by-pixel ba...
متن کاملMiddle atmosphere water vapour and dynamical features in aircraft measurements and ECMWF analyses
The European Centre for Medium-Range Weather Forecasts (ECMWF) provides global analyses of atmospheric humidity from the ground to the lower mesosphere. Unlike in the troposphere, in the stratosphere no humidity observations are assimilated. Humidity analyses here are essentially the results of a free-running model constrained by the ECMWF’s analysed wind fields. So far only the broad-scale fea...
متن کاملATSR Total Water Vapour Content Retrieval and Comparison with GOME and ATSR Microwave Sounder Data
The Water Vapour estimation from satellite data has been widely discussed in past years and different IR based techniques have been approached by various authors. In our work we estimate the total content of water vapour over sea surface by using ATSR-2 (Along Track Scanning Radiometer) Infra Red imagery. Two different retrieval methods have been applied: one proposed by Ottlé [1] in 1997 and t...
متن کامل