Publication | Open Access
Retrieval of daytime total columnar water vapour from MODIS measurements over land surfaces
65
Citations
36
References
2015
Year
Environmental MonitoringEngineeringLand SurfacesTerrestrial SensingEarth ScienceWet BiasModis AlgorithmAtmospheric ScienceCalibrationModis MeasurementsThermal Infrared Remote SensingSpatial ResolutionAtmospheric SensingMeteorologyGeographyMicrowave Remote SensingRadiation MeasurementRadiometryAtmospheric ConditionRemote SensingOptical Remote SensingUnmanned Aerial SystemsLand Surface Reflectance
Abstract. 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 basis. The algorithm has been extended by introducing empirical correction coefficients for the transmittance calculation within the forward operator. With that, a wet bias of the MODIS algorithm against ARM microwave radiometer data has been eliminated. The validation against other ground-based measurements (GNSS water vapour stations, GUAN radiosondes, and AERONET sun photometers) on a global scale reveals a bias between −0.8 and −1.6 mm and root mean square deviations between 0.9 and 2 mm. This is an improvement in comparison to the operational TCWV Level 2 product (bias between −1.9 and −3.2 mm and root mean square deviations between 1.9 and 3.4 mm). The comparison to MERIS TCWV for an example overpass exposes a systematic dry bias.
| Year | Citations | |
|---|---|---|
Page 1
Page 1