Abstract

Originally designed for applications over the ocean, satellite altimetry has been proven to be a useful tool for hydrologic studies. Altimeter products, mainly conceived for oceanographic studies, often fail to provide atmospheric corrections suitable for inland water studies. The focus of this paper is the analysis of the main issues related with the atmospheric corrections that need to be applied to the altimeter range to get precise water level heights. Using the corrections provided on the Radar Altimeter Database System, the main errors present in the dry and wet tropospheric corrections and in the ionospheric correction of the various satellites are reported. It has been shown that the model-based tropospheric corrections are not modeled properly and in a consistent way in the various altimetric products. While over the ocean, the dry tropospheric correction (DTC) is one of the most precise range corrections, in some of the present altimeter products, it is the correction with the largest errors over continental water regions, causing large biases of several decimeters, and along-track interpolation errors up to several centimeters, both with small temporal variations. The wet tropospheric correction (WTC) from the on-board microwave radiometers is hampered by the contamination on the radiometer measurements of the surrounding lands, making it usable only in the central parts of large lakes. In addition, the WTC from atmospheric models may also have large errors when it is provided at sea level instead of surface height. These errors cannot be corrected by the user, since no accurate expression exists for the height variation of the WTC. Alternative and accurate corrections can be computed from in situ data, e.g., DTC from surface pressure at barometric stations and WTC from Global Navigation Satellite System permanent stations. The latter approach is particularly favorable for small lakes and reservoirs, where GNSS-derived WTC at a single location can be representative of the whole lake. For non-timely critical studies, for consistency and stability, model-derived tropospheric corrections from European Centre for Medium-Range Weather Forecasts (ECMWF) Re-Analysis ERA Interim, properly computed at surface height, are recommended. The instrument-based dual-frequency ionospheric correction may have errors related with the land contamination in the Ku and C/S bands, making it more suitable to use a model-based correction. The most suitable model-based ionospheric correction is the Jet Propulsion Laboratory (JPL) global ionosphere map (GIM) model, available after 1998, properly scaled to the altimeter height. Most altimeter products provide the GIM correction unreduced for the total electron content extending above the altitude of these satellites, thus overestimating the ionospheric correction by about 8%. Prior to 1998, the NIC09 (NOAA Ionosphere Climatology 2009) climatology provides the best accuracy.

Highlights

  • Originally designed for ocean and ice studies, satellite radar altimetry has been successfully used in the monitoring of continental water surfaces

  • The authors of [5] reported a similar behavior of the ECMWF wet tropospheric correction (WTC) on the T/P Geophysical Data Records (GDR), which provided the correction at sea level, derived from global 3D grids

  • In terms of variability, ERA and National Centers for Environmental Prediction (NCEP) seem to be similar over Lake Victoria, NCEP has a bias of about 3 cm with respect to ERA

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Summary

Introduction

Originally designed for ocean and ice studies, satellite radar altimetry has been successfully used in the monitoring of continental water surfaces. Numerous studies have been devoted to different fields of continental hydrology based on satellite altimetry (e.g., [1,2,3,4]). These studies have proven that radar altimetry is currently an essential technique for various applications over inland water, such as: altimeter calibration in the continental domain (e.g., [5,6,7]), study of the hydrological water balance [2,8], assessment of lake-level variation [9,10], studies of anthropogenic impact on lake water storage [11] and climate impacts of lake level fluctuations at the regional scale [12]. The first four terms in Equation (2) are the range corrections required to account for the interaction of the radar signal with the atmosphere and with the sea surface. Using the terminology adopted in the Radar Altimeter Database System (RADS), the last term in Equation (2) is called the reference frame offset,

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