Wolfgang Wagner

TL;DR: In this paper, a high-level possible approach for fusing the individual satellite data sets is presented, where the best possible approach is to merge Level 2 soil moisture data derived from different satellite data records.

TL;DR: In this paper, the first global, multiannual soil moisture data set (1992-2000) has been derived from active microwave data acquired by the European Remote Sensing Satellites (ERS) ERS-1/ERS-2 scatterometer (C-band) and the retrieval algorithm is based on a change detection approach that naturally accounts for surface roughness and heterogeneous land cover.

TL;DR: The European Space Agency's Climate Change Initiative for Soil Moisture (ESA CCI SM) merging algorithm generates consistent and quality-controlled long-term (1978-2018) climate data records for soil moisture, which serves thousands of scientists and data users worldwide as discussed by the authors.

TL;DR: In this article, the jet energy scale and its systematic uncertainty are determined for jets measured with the ATLAS detector using proton-proton collision data with a centre-of-mass energy of [Formula: see text]TeV corresponding to an integrated luminosity of [formula] see text][formula:see text].

TL;DR: In this article, a bottom-up approach is proposed that, by doing hydrology backward, uses variations in soil moisture (SM) sensed by microwave satellite sensors to infer preceding rainfall amounts.