Trade of economically and physically scarce virtual water in the global food network DOI Creative Commons
Elena Vallino, Luca Ridolfi, Francesco Laio

et al.

Scientific Reports, Journal Year: 2021, Volume and Issue: 11(1)

Published: Nov. 23, 2021

Abstract The virtual water (VW) trade associated to food is composed by the quantity of utilized for production crops exchanged on global market. In assessing a country’s abundance or scarcity when entering international VW trade, scholars consider only physical availability, neglecting economic scarcity, which indicates situations in socio-economic obstacles impede productive use water. We weight primary with newly proposed composite index (CWSI) that combines and scarcity. 39% volumes exported from countries higher CWSI than one destination country. Such unfair routes occur both low- high-income among middle-income themselves. High-income have predominant role import CWSI-weighted VW, while dominate largest exporters. For many them dominates over application elicits also status change net exporter importer some wealthy viceversa countries. allows quantify what extent exchanges flow along environmentally economically routes, it can inform design compensation policies.

Language: Английский

A Sentinel-1 SAR-based global 1-km resolution soil moisture data product: Algorithm and preliminary assessment DOI Creative Commons
Dong Fan, Tianjie Zhao, Xiaoguang Jiang

et al.

Remote Sensing of Environment, Journal Year: 2025, Volume and Issue: 318, P. 114579 - 114579

Published: Jan. 8, 2025

Language: Английский

Citations

1

Using remote sensing and machine learning to generate 100-cm soil moisture at 30-m resolution for the black soil region of China: Implication for agricultural water management DOI Creative Commons
Liwen Chen,

Boting Hu,

Jingxuan Sun

et al.

Agricultural Water Management, Journal Year: 2025, Volume and Issue: 309, P. 109353 - 109353

Published: Feb. 2, 2025

Language: Английский

Citations

1

An alternative AMSR2 vegetation optical depth for monitoring vegetation at large scales DOI Creative Commons
Mengjia Wang, Lei Fan, Frédéric Frappart

et al.

Remote Sensing of Environment, Journal Year: 2021, Volume and Issue: 263, P. 112556 - 112556

Published: June 15, 2021

Language: Английский

Citations

46

ASCAT IB: A radar-based vegetation optical depth retrieved from the ASCAT scatterometer satellite DOI Creative Commons
Xiangzhuo Liu, Jean‐Pierre Wigneron, Lei Fan

et al.

Remote Sensing of Environment, Journal Year: 2021, Volume and Issue: 264, P. 112587 - 112587

Published: July 17, 2021

Language: Английский

Citations

45

In Situ Observation-Constrained Global Surface Soil Moisture Using Random Forest Model DOI Creative Commons
Lijie Zhang, Yijian Zeng, Ruodan Zhuang

et al.

Remote Sensing, Journal Year: 2021, Volume and Issue: 13(23), P. 4893 - 4893

Published: Dec. 2, 2021

The inherent biases of different long-term gridded surface soil moisture (SSM) products, unconstrained by the in situ observations, implies spatio-temporal patterns. In this study, Random Forest (RF) model was trained to predict SSM from relevant land feature variables (i.e., temperature, vegetation indices, texture, and geographical information) precipitation, based on data International Soil Moisture Network (ISMN.). results RF show an RMSE 0.05 m3 m−3 a correlation coefficient 0.9. calculated impurity-based importance indicates that Antecedent Precipitation Index affects most predicted moisture. coordinates also significantly influence prediction reduced 0.03 after considering coordinates), followed texture. pattern compared with European Space Agency Climate Change Initiative (ESA-CCI) product, using both time-longitude latitude diagrams. indicate captures spatial distribution daily, seasonal, annual variabilities globally.

Language: Английский

Citations

44

Spatial differentiation of determinants for water conservation dynamics in a dryland mountain DOI
Hao‐jie Xu,

Chuan-yan Zhao,

Xin‐ping Wang

et al.

Journal of Cleaner Production, Journal Year: 2022, Volume and Issue: 362, P. 132574 - 132574

Published: June 5, 2022

Language: Английский

Citations

38

Detecting the human fingerprint in the summer 2022 western–central European soil drought DOI Creative Commons
Dominik L. Schumacher, Mariam Zachariah, Friederike E. L. Otto

et al.

Earth System Dynamics, Journal Year: 2024, Volume and Issue: 15(1), P. 131 - 154

Published: Feb. 16, 2024

Abstract. In the 2022 summer, western–central Europe and several other regions in northern extratropics experienced substantial soil moisture deficits wake of precipitation shortages elevated temperatures. Much has not witnessed a more severe drought since at least mid-20th century, raising question whether this is manifestation our warming climate. Here, we employ well-established statistical approach to attribute low summer human-induced climate change using observation-driven estimates models. We find that Europe, June–August root zone such as expected occur once 20 years present but would have occurred only about per century during preindustrial times. The entire show an even stronger global imprint with 20-fold probability increase or higher, note underlying uncertainty large. Reasons are manifold include lack direct observations required spatiotemporal scales, limitations remotely sensed estimates, resulting need simulate land surface models driven by meteorological data. Nevertheless, observation-based products indicate long-term declining for both regions, tendency likely fueled regional warming, while no clear trends emerge precipitation. Finally, model analysis suggests under 2 ∘C 2022-like conditions become twice compared today take place nearly every year across extratropics.

Language: Английский

Citations

7

The Status and Future of Small Uncrewed Aircraft Systems (UAS) in Operational Meteorology DOI Open Access
James O. Pinto,

Debbie O’Sullivan,

Stewart W. Taylor

et al.

Bulletin of the American Meteorological Society, Journal Year: 2021, Volume and Issue: 102(11), P. E2121 - E2136

Published: July 7, 2021

Abstract The boundary layer plays a critical role in regulating energy and moisture exchange between the surface free atmosphere. However, lower atmosphere (including shallow flow features horizontal gradients that influence local weather) are not sampled at time space scales needed to improve mesoscale analyses used drive short-term model predictions of impactful weather. These data gaps exasperated remote less developed parts world where relatively cheap observational capabilities could help immensely. continued development small, weather-sensing uncrewed aircraft systems (UAS), coupled with emergence an entirely new commercial sector focused on UAS applications, has created novel opportunities for partially filling this gap. This article provides overview current level readiness small routinely sensing support national meteorological hydrological services (NMHS) around world. potential benefits observations operational weather forecasting numerical prediction discussed, as key considerations will need be addressed before their widespread adoption. Finally, pathways implementation into operations, which hinge successful demonstration within collaborative, multi-agency-sponsored testbeds, suggested.

Language: Английский

Citations

40

A deep neural network based SMAP soil moisture product DOI Creative Commons
Lun Gao, Qiang Gao, Hankui K. Zhang

et al.

Remote Sensing of Environment, Journal Year: 2022, Volume and Issue: 277, P. 113059 - 113059

Published: May 10, 2022

Language: Английский

Citations

27

Mapping Chinese annual gross primary productivity with eddy covariance measurements and machine learning DOI
Xianjin Zhu, Guirui Yu, Zhi Chen

et al.

The Science of The Total Environment, Journal Year: 2022, Volume and Issue: 857, P. 159390 - 159390

Published: Oct. 12, 2022

Language: Английский

Citations

27