Publications

Drought management is currently informed by a variety of approaches, mostly responding to drought crisis when it happens. Toward more …

Drought monitoring and yield prediction often rely on coarse-scale hydroclimate data or (infrequent) vegetation indexes that do not always indicate the conditions farmers face in the field. Consequently, decision-making based on these indices can often be disconnected from the farmer reality. Our study focuses on smallholder farming systems in data-sparse developing countries, and it shows how field-scale soil moisture can leverage and improve crop yield prediction and drought impact assessment.

Although there have been significant advances in river routing and sub-grid heterogeneity (i.e., tiling) schemes in Earth system models over the past decades, there has yet to be a concerted effort to couple these two concepts. This paper aims to bridge this gap through the development of a two-way coupling between tiling schemes and river networks in the HydroBlocks land surface model. The scheme is implemented and tested over a 1 arc degree domain in Oklahoma, United States.

Drought monitoring and yield prediction often rely on coarse-scale hydroclimate data or (infrequent) vegetation indexes that do not always indicate the conditions farmers face in the field. Consequently, decision-making based on these indices can often be disconnected from the farmer reality. Our study focuses on smallholder farming systems in data-sparse developing countries, and it shows how field-scale soil moisture can leverage and improve crop yield prediction and drought impact assessment.

Information about the spatiotemporal variability of soil moisture is critical for many purposes, including monitoring of hydrologic …

We introduce the Precipitation Probability DISTribution (PPDIST) dataset, a collection of global high-resolution (0.1°) …

Soil Moisture (SM) is a direct measure of agricultural drought. While there are several global SM indices, none of them directly use SM …

Accurate and detailed soil moisture information is essential for, among other things, irrigation, drought and flood prediction, water …

Helicopters can experience brownout when flying close to a dusty surface. The uplifting of dust in the air can remarkably restrict the …

Given the varying manifestations of climate change over time and the influence of climate perceptions on adaptation, it is important to …

Accurate crop yield forecasts before harvest are crucial for providing early warning of agricultural losses, so that policy-makers can …

We present new global maps of the Köppen-Geiger climate classification at an unprecedented 1-km resolution for the present-day …

This study represents the most comprehensive global-scale precipitation dataset evaluation to date. We evaluated 13 uncorrected precipitation datasets using precipitation observations from 76 086 gauges, and 9 gauge-corrected ones using hydrological modeling for 9053 catchments. Our results highlight large differences in estimation accuracy, and hence, the importance of precipitation dataset selection in both research and operational applications.

Dry conditions in 2013–16 in much of the western United States were responsible for severe drought and led to an exceptional fire …

Given widespread Amazonian deforestation, numerous studies have focused on how the regional hydrological cycle - in terms of …