@article{inamdar_shi_lee_jackson_matthews_2023, title={Extending the HIRS Data Record with IASI Measurements}, volume={15}, ISSN={["2072-4292"]}, DOI={10.3390/rs15030717}, abstractNote={The High-Resolution Infrared Radiation Sounder (HIRS) on the NOAA and the MetOp satellite series have provided global sounding measurements since the late 1970s, spanning over 40 years. These measurements have been useful in climate change detection, numerical weather prediction, and development of long-term climate data records of profiles of atmospheric temperature and humidity, cloud climatology, upper tropospheric water vapor, outgoing longwave radiation, etc. However, the HIRS instrument is being replaced by the new generation of sounders such as the hyperspectral Infrared Atmospheric Sounding Interferometer (IASI) on recently launched satellites. In order to continue and extend the HIRS record, we use IASI measurements to simulate and derive HIRS-like data for the 12 HIRS longwave channels. The MetOp satellite operated by EUMETSAT carries both the HIRS and the hyper-spectral IASI instrument with accurate spectral and radiometric calibration, providing a great opportunity to consistently calibrate the measurements. The IASI radiances are convolved with the HIRS spectral response functions to produce IASI-simulated HIRS (IHIRS) for the longwave channels. In the present work, IHIRS data are collocated and compared with HIRS observed radiances on the same satellite to develop a calibration table for each of the ascending/descending orbits and cloudy and clear categories. The resulting inter-instrument calibrated IHIRS data was found to agree with HIRS brightness temperatures within 0.05 K for all longwave channels.}, number={3}, journal={REMOTE SENSING}, author={Inamdar, Anand K. and Shi, Lei and Lee, Hai-Tien and Jackson, Darren L. and Matthews, Jessica L.}, year={2023}, month={Feb} }
 @article{arguez_inamdar_palecki_schreck_young_2019, title={ENSO Normals: A New US Climate Normals Product Conditioned by ENSO Phase and Intensity and Accounting for Secular Trends}, volume={58}, ISSN={["1558-8432"]}, DOI={10.1175/JAMC-D-18-0252.1}, abstractNote={Abstract}, number={6}, journal={JOURNAL OF APPLIED METEOROLOGY AND CLIMATOLOGY}, author={Arguez, Anthony and Inamdar, Anand and Palecki, Michael A. and Schreck, Carl J. and Young, Alisa H.}, year={2019}, month={Jun}, pages={1381–1397} }
 @article{inamdar_guillevic_2015, title={Net Surface Shortwave Radiation from GOES Imagery-Product Evaluation Using Ground-Based Measurements from SURFRAD}, volume={7}, ISSN={["2072-4292"]}, DOI={10.3390/rs70810788}, abstractNote={The Earth’s surface net radiation controls the energy and water exchanges between the Earth’s surface and the atmosphere, and can be derived from satellite observations. The ability to monitor the net surface radiation over large areas at high spatial and temporal resolution is essential for many applications, such as weather forecasting, short-term climate prediction or water resources management. The objective of this paper is to derive the net surface radiation in the shortwave domain at high temporal (half-hourly) and spatial resolution (~1 km) using visible imagery from Geostationary Operational Environmental Satellite (GOES). The retrieval algorithm represents an adaptation to GOES data of a standard algorithm initially developed for the NASA-operated Clouds and Earth’s Radiant Energy System (CERES) scanner. The methodology relies on: (1) the estimation of top of atmosphere shortwave radiation from GOES spectral measurements; and (2) the calculation of net surface shortwave (SW) radiation accounting for atmospheric effects. Comparison of GOES-retrieved net surface shortwave radiation with ground-measurements at the National Oceanic and Atmospheric Administration’s (NOAA) Surface Radiation (SURFRAD) stations yields very good agreement with average bias lower than 5 W·m−2 and root mean square difference around 70 W·m−2. The algorithm performance is usually higher over areas characterized by low spatial variability in term of land cover type and surface biophysical properties. The technique does not involve retrieval and assessment of cloud properties and can be easily adapted to other meteorological satellites around the globe.}, number={8}, journal={REMOTE SENSING}, author={Inamdar, Anand K. and Guillevic, Pierre C.}, year={2015}, month={Aug}, pages={10788–10814} }