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Publication search results
found 19 matches
- 2019
- Adel M. Abdallah
, David E. Rosenberg
:
A data model to manage data for water resources systems modeling. Environ. Model. Softw. 115: 113-127 (2019) - Fatemeh Aliyari
, Ryan T. Bailey, Ali Tasdighi, André Dozier
, Mazdak Arabi, Kurt Zeiler:
Coupled SWAT-MODFLOW model for large-scale mixed agro-urban river basins. Environ. Model. Softw. 115: 200-210 (2019) - J. L. P. Barker, Christopher J. A. Macleod:
Development of a national-scale real-time Twitter data mining pipeline for social geodata on the potential impacts of flooding on communities. Environ. Model. Softw. 115: 213-227 (2019) - Tomas Beuzen
, Joshua Simmons:
A variable selection package driving Netica with Python. Environ. Model. Softw. 115: 1-5 (2019) - Stefano Bonduà
, Villiam Bortolotti
:
A tool for pathline creation using TOUGH simulation results and fully unstructured 3D Voronoi grids. Environ. Model. Softw. 115: 63-75 (2019) - Ludiwine Clouzot, Peter A. Vanrolleghem
:
Endocrine disruption: From a whole-lake experiment to a calibrated ecosystem model. Environ. Model. Softw. 115: 6-18 (2019) - Xiang Gao, Wei Ouyang
, Zengchao Hao, Xianhong Xie, Zhongmin Lian, Xin Hao, Xuelei Wang:
SWAT-N2O coupler: An integration tool for soil N2O emission modeling. Environ. Model. Softw. 115: 86-97 (2019) - Sanna Härkönen, Mathias Neumann
, Volker Mues, Frank Berninger, Karol Bronisz
, Giuseppe Cardellini
, Gherardo Chirici
, Hubert Hasenauer, Michael Köhl, Mait Lang, Katarina Merganicova, Frits Mohren
, Aleksandrovic Moiseyev, Adam Moreno, Matteo Mura, Bart Muys
, Konstantin Olschofsky
, Barbara Del Perugia, Annikki Mäkelä
:
A climate-sensitive forest model for assessing impacts of forest management in Europe. Environ. Model. Softw. 115: 128-143 (2019) - Anne B. Hoos
, Sherry H. Wang, Gregory E. Schwarz:
Adapting a regional water-quality model for local application: A case study for Tennessee, USA. Environ. Model. Softw. 115: 187-199 (2019) - Marc Jaxa-Rozen
, Jan H. Kwakkel, Martin Bloemendal:
A coupled simulation architecture for agent-based/geohydrological modelling with NetLogo and MODFLOW. Environ. Model. Softw. 115: 19-37 (2019) - Denis Lanzanova, Cory Whitney
, Keith D. Shepherd
, Eike Luedeling:
Improving development efficiency through decision analysis: Reservoir protection in Burkina Faso. Environ. Model. Softw. 115: 164-175 (2019) - Feng Mao
, Xianfu Zhao
, Peiming Ma, Shiyun Chi, Keith S. Richards, Julian Clark, David M. Hannah
, Stefan Krause
:
Developing composite indicators for ecological water quality assessment based on network interactions and expert judgment. Environ. Model. Softw. 115: 51-62 (2019) - Elias C. Massoud
, Adam J. Purdy, Bradley O. Christoffersen, Louis S. Santiago, Chonggang Xu
:
Bayesian inference of hydraulic properties in and around a white fir using a process-based ecohydrologic model. Environ. Model. Softw. 115: 76-85 (2019) - Xiaohui Qiao, Zhiyu Li, Daniel P. Ames
, E. James Nelson, Nathan R. Swain:
Simplifying the deployment of OGC web processing services (WPS) for environmental modelling - Introducing Tethys WPS Server. Environ. Model. Softw. 115: 38-50 (2019) - Nigel W. T. Quinn, Zong-Liang Yang:
Review of Hydrodynamics and Water Quality: Modeling Rivers, Lakes, and Estuaries by Zhen-Gang Ji. Second edition. Environ. Model. Softw. 115: 211-212 (2019) - Dano Roelvink, Susana Costas
:
Coupling nearshore and aeolian processes: XBeach and duna process-based models. Environ. Model. Softw. 115: 98-112 (2019) - Ionut Cosmin Sandric
, Cristian Ionita
, Zenaida Chitu, Marian Dardala, Radu Irimia, Felix Titus Furtuna:
Using CUDA to accelerate uncertainty propagation modelling for landslide susceptibility assessment. Environ. Model. Softw. 115: 176-186 (2019) - Vakhtang Shelia
, James Hansen
, Vaishali Sharda
, Cheryl H. Porter
, Pramod Aggarwal, Carol J. Wilkerson, Gerrit Hoogenboom
:
A multi-scale and multi-model gridded framework for forecasting crop production, risk analysis, and climate change impact studies. Environ. Model. Softw. 115: 144-154 (2019) - Paul D. Wagner
, Nicola Fohrer
:
Gaining prediction accuracy in land use modeling by integrating modeled hydrologic variables. Environ. Model. Softw. 115: 155-163 (2019)
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