Frontiers in Big Data | Data-driven Climate Sciences

Methods

Published on 18 Oct 2021

Testing a Generalizable Machine Learning Workflow for Aquatic Invasive Species on Rainbow Trout (Oncorhynchus mykiss) in Northwest Montana

in Data-driven Climate Sciences

S. Carter
C. B. van Rees
B. K. Hand
C. C. Muhlfeld
G. Luikart
J. S. Kimball

Frontiers in Big Data

doi 10.3389/fdata.2021.734990

6,144 views
10 citations

Original Research

Published on 24 Aug 2021

Benchmarking of Data-Driven Causality Discovery Approaches in the Interactions of Arctic Sea Ice and Atmosphere

in Data-driven Climate Sciences

Yiyi Huang
Matthäus Kleindessner
Alexey Munishkin
Debvrat Varshney
Pei Guo
Jianwu Wang

Frontiers in Big Data

doi 10.3389/fdata.2021.642182

9,128 views
26 citations

Original Research

Published on 26 Jul 2021

Comparative Analysis of Energy Use and Greenhouse Gas Emission of Diesel and Electric Trucks for Food Distribution in Gowanus District of New York City

in Data-driven Climate Sciences

Raghul Elangovan
Ondrea Kanwhen
Ziqian Dong
Ahmed Mohamed
Roberto Rojas-Cessa

Frontiers in Big Data

doi 10.3389/fdata.2021.693820

10,194 views
12 citations

Original Research

Published on 22 Jun 2021

Using 3D CityGML for the Modeling of the Food Waste and Wastewater Generation—A Case Study for the City of Montréal

in Data-driven Climate Sciences

Reiner Braun
Rushikesh Padsala
Tahereh Malmir
Soufia Mohammadi
Ursula Eicker

Frontiers in Big Data

doi 10.3389/fdata.2021.662011

6,950 views
13 citations

Original Research

Published on 05 May 2021

Iowa Urban FEWS: Integrating Social and Biophysical Models for Exploration of Urban Food, Energy, and Water Systems

in Data-driven Climate Sciences

Jan Thompson
Baskar Ganapathysubramanian
Wei Chen
Michael Dorneich
Philip Gassman
Caroline Krejci
Matthew Liebman
Ajay Nair
Ulrike Passe
Nicholas Schwab

Frontiers in Big Data

doi 10.3389/fdata.2021.662186

6,043 views
16 citations

Original Research

Published on 18 Jan 2021

Monitoring Crop Status in the Continental United States Using the SMAP Level-4 Carbon Product

in Data-driven Climate Sciences

Patrick M. Wurster
Marco Maneta
John S. Kimball
K. Arthur Endsley
Santiago Beguería

Frontiers in Big Data

doi 10.3389/fdata.2020.597720

6,309 views
4 citations

Original Research

Published on 28 Oct 2020

Ensemble Machine Learning Approach Improves Predicted Spatial Variation of Surface Soil Organic Carbon Stocks in Data-Limited Northern Circumpolar Region

in Data-driven Climate Sciences

Umakant Mishra
Sagar Gautam
William J. Riley
Forrest M. Hoffman

Frontiers in Big Data

doi 10.3389/fdata.2020.528441

7,948 views
47 citations

Original Research

Published on 03 Jun 2020

Deep Learning Optimizes Data-Driven Representation of Soil Organic Carbon in Earth System Model Over the Conterminous United States

in Data-driven Climate Sciences

Feng Tao
Zhenghu Zhou
Yuanyuan Huang
Qianyu Li
Xingjie Lu
Shuang Ma
Xiaomeng Huang
Yishuang Liang
Gustaf Hugelius
Lifen Jiang

Frontiers in Big Data

doi 10.3389/fdata.2020.00017

14,632 views
48 citations

Original Research

Published on 09 Apr 2020

Agricultural Drought Monitoring via the Assimilation of SMAP Soil Moisture Retrievals Into a Global Soil Water Balance Model

in Data-driven Climate Sciences

Iliana E. Mladenova
John D. Bolten
Wade Crow
Nazmus Sazib
Curt Reynolds

Frontiers in Big Data

doi 10.3389/fdata.2020.00010

17,577 views
67 citations

Original Research

Published on 28 Jan 2020

Tropical Cyclone Track Forecasting Using Fused Deep Learning From Aligned Reanalysis Data

in Data-driven Climate Sciences

Sophie Giffard-Roisin
Mo Yang
Guillaume Charpiat
Christina Kumler Bonfanti
Balázs Kégl
Claire Monteleoni

Frontiers in Big Data

doi 10.3389/fdata.2020.00001

33,943 views
105 citations

Original Research

Published on 23 Jan 2020

Spatial Pattern and Environmental Drivers of Acid Phosphatase Activity in Europe

in Data-driven Climate Sciences

Yan Sun
Daniel S. Goll
Philippe Ciais
Shushi Peng
Olga Margalef
Dolores Asensio
Jordi Sardans
Josep Peñuelas

Frontiers in Big Data

doi 10.3389/fdata.2019.00051

8,327 views
24 citations

Original Research

Published on 06 Dec 2019

Plantation Mapping in Southeast Asia

in Data-driven Climate Sciences

Xiaowei Jia
Ankush Khandelwal
Kimberly Carlson
James S. Gerber
Paul C. West
Vipin Kumar

Frontiers in Big Data

doi 10.3389/fdata.2019.00046

8,570 views
2 citations

Original Research

Published on 05 Nov 2019

A New Optical Remote Sensing Technique for High-Resolution Mapping of Soil Moisture

in Data-driven Climate Sciences

Ebrahim Babaeian
Paheding Sidike
Maria S. Newcomb
Maitiniyazi Maimaitijiang
Scott A. White
Jeffrey Demieville
Richard W. Ward
Morteza Sadeghi
David S. LeBauer
Scott B. Jones

Frontiers in Big Data

doi 10.3389/fdata.2019.00037

15,714 views
47 citations

Original Research

Published on 23 Oct 2019

Identifying Dynamic Memory Effects on Vegetation State Using Recurrent Neural Networks

in Data-driven Climate Sciences

Basil Kraft
Martin Jung
Marco Körner
Christian Requena Mesa
José Cortés
Markus Reichstein

Frontiers in Big Data

doi 10.3389/fdata.2019.00031

9,202 views
40 citations

Original Research

Published on 24 Sep 2019

Variable Rate Irrigation of Maize and Soybean in West-Central Nebraska Under Full and Deficit Irrigation

in Data-driven Climate Sciences

J. Burdette Barker
Sandeep Bhatti
Derek M. Heeren
Christopher M. U. Neale
Daran R. Rudnick

Frontiers in Big Data

doi 10.3389/fdata.2019.00034

6,033 views
19 citations

Brief Research Report

Published on 20 Jun 2019

Data Mining Climate Variability as an Indicator of U.S. Natural Gas

in Data-driven Climate Sciences

Jacob Stuivenvolt-Allen
Simon S.-Y. Wang

Frontiers in Big Data

doi 10.3389/fdata.2019.00020

4,961 views
7 citations

40 articles

articles

Testing a Generalizable Machine Learning Workflow for Aquatic Invasive Species on Rainbow Trout (Oncorhynchus mykiss) in Northwest Montana

Benchmarking of Data-Driven Causality Discovery Approaches in the Interactions of Arctic Sea Ice and Atmosphere

Comparative Analysis of Energy Use and Greenhouse Gas Emission of Diesel and Electric Trucks for Food Distribution in Gowanus District of New York City

Using 3D CityGML for the Modeling of the Food Waste and Wastewater Generation—A Case Study for the City of Montréal

Iowa Urban FEWS: Integrating Social and Biophysical Models for Exploration of Urban Food, Energy, and Water Systems

Monitoring Crop Status in the Continental United States Using the SMAP Level-4 Carbon Product

Ensemble Machine Learning Approach Improves Predicted Spatial Variation of Surface Soil Organic Carbon Stocks in Data-Limited Northern Circumpolar Region

Deep Learning Optimizes Data-Driven Representation of Soil Organic Carbon in Earth System Model Over the Conterminous United States

Agricultural Drought Monitoring via the Assimilation of SMAP Soil Moisture Retrievals Into a Global Soil Water Balance Model

Tropical Cyclone Track Forecasting Using Fused Deep Learning From Aligned Reanalysis Data

Spatial Pattern and Environmental Drivers of Acid Phosphatase Activity in Europe

Plantation Mapping in Southeast Asia

A New Optical Remote Sensing Technique for High-Resolution Mapping of Soil Moisture

Identifying Dynamic Memory Effects on Vegetation State Using Recurrent Neural Networks

Variable Rate Irrigation of Maize and Soybean in West-Central Nebraska Under Full and Deficit Irrigation

Data Mining Climate Variability as an Indicator of U.S. Natural Gas