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Earth observation data cubes for water resources management

Data has become one of the most valuable resources of the 21st century. Indeed, data can be considered the most important input when it comes to make informed decisions. The recent global pandemic crisis highlighted the vital role of data for reporting accurate case numbers and outbreaks, identifying the most vulnerable demographics, and understanding the most effective vaccines, to mention few. Data also plays a key role when it comes to sustainability.

Relation of extreme precipitation with temperature: How do open-access global gridded datasets work in a hydrometeorological study?

Analysts have long noted that extreme precipitation appears to intensify with temperature at a rate of around 7%/°C, which is governed by the Clausius-Clapeyron (CC) equation. This study aims to investigate the relationship between the spatio-temporal properties of hourly precipitation and daily dew point temperature. Specifically, the global gridded products of bias-corrected Climate Prediction Center morphing technique (CMORPH-CRT) and ERA5 reanalysis were applied for nine locations in the world. The results show that significant spatial heterogeneity in extreme precipitation scaling is present at the selected locations, which might be attributed to local conditions, such as regional climate and the proximity to humidity sources. Despite the potential limitations, this study provides insight into the application of high-resolution open-access global gridded products in analysing precipitation scaling.

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Stakeholder

Centre for Water and Landscape Dynamics, Australian National University

The ANU Centre for Water and Landscape Dynamics (WALD) is a world leader in observation technology for real time environmental information. WALD develops new methods to measure, monitor and forecast climate, water availability and landscape conditions. Our solutions frequently combine Big Data from satellite observation and sensor networks, with field research, biophysical modelling and machine learning.

UN Environment

The United Nations Environment Programme (UN Environment) is the leading global environmental authority that sets the global environmental agenda, promotes the coherent implementation of the environmental dimension of sustainable development within the United Nations system, and serves as an authoritative advocate for the global environment. Our mission is to provide leadership and encourage partnership in caring for the environment by inspiring, informing, and enabling nations and peoples to improve their quality of life without compromising that of future generations.

GEO AquaWatch

AquaWatch is an Initiative within the Group on Earth Observations (GEO) that aims to develop and build the global capacity and utility of Earth Observation-derived water quality data, products and information to support water resources management and decision making.

Goal

The goal of the AquaWatch Initiative is to develop and build the global capacity and utility of Earth Observation-derived water quality data, products and information to support effective monitoring, management and decision making.

Objectives

The objectives to achieve this goal are:

University of Natural Resources and Life Sciences Vienna

Founded in 1872, the Universität für Bodenkultur Wien / University of Natural Resources and Life Sciences, Vienna, also known by its acronym "BOKU" is an education and research institution for renewable resources in Vienna, Austria. Today, BOKU comprises of 15 departments located at two sites in Vienna and one in Lower Austria, as well as several external research and teaching facilities in Austria. There are currently approximately 11000 students enrolled at BOKU in study courses at the bachelor, master, and doctoral levels.