Drilldown: BibEntryCargo
From CSDMS
Choose a table:
Use the filters below to narrow your results.
Atiko, Mohammad Rifqi; Adytia, Didit; (1) ·
Avendano, F.; Cichota, R.; Horne, D.; Singh, R.; Palmer, A.; Bloomer, D.; (1) ·
Bampzelis, Dimitrios; Kartsios, Stergios; Pytharoulis, Ioannis; Kostopoulos, Vassilios; Spyrou, Christos; Tegoulias, Ioannis; Zanis, Prodromos; (1) ·
Chen, C.; Ota, N.; Wang, B.; Fletcher, A.; (1) ·
Cichota, R.; Khaembah, E.; Thomas, S.; Lilburne, L.; Vickers, S.; Omondiagbe, P.; Tait, A.; (1) ·
Cichota, R.; Lilburne, L.; Tait, A.; Snow, V.; (1) ·
Devanand, A.; Evans, J.P., Pitman, A.J.; Pal, S.; Gochis, D.; Sampson, K.; (1) ·
Dilshan, M.W.R.R.; Hiraga, Y.; Kazama, S.; Chaminda, S.P.; (1) ·
Dodd, M.B.; Schon, N.; Mackay, A.D.; (1) ·
Elliott, S.; Hoang, L.; Dang, T.D.; Pletzer, A.; Scott, C.; (1) ·
He, D.; Wang, E.; Verburg, K.; (1) ·
Herrmann, N.; Erwin, T.; (1) ·
Huth, N.I.; Holzworth, D.P.; (1) ·
Janardhanan, S.; Pagendam, D.; MacKinlay, D.; Pickett, T.; Kuhnert, P.; (1) ·
Jenkins, Robert L.; Passeri, Davina L.; Smith, Christopher G.; Thompson, David M.; Smith, Kathryn E. L.; (1) ·
Khaembah, E.N.; Thomas, S.; Cichota, R.; Sharp, J.; Brown, H.; (1) ·
Kofidou, Maria; Gemitzi, Alexandra; (1) ·
Li, S.; Wang, B.; Liu, D.L.; Huete, A.; Yu, Q.; (1) ·
Liu, L.; Vervoort, R.W.; Johnson, F.; Marshall, L.; (1) ·
Ma, J.H.; Lee, M.S.; Song, S.U.; Yoo, C.S.; (2) ·
Najian, Maede; Goudarzi, Navid; (1) ·
Ouyang, Ying; Stanturf, John A.; Williams, Marcus D.; Botmann, Evgeniy; Madsen, Palle; (1) ·
Richetti, J.; Zheng, B.; Garcia, J.N.; Lawes, R.; (1) ·
Salceda-Gonzalez, Miguel; Udawatta, Ranjith P.; (1) ·
Sales, Ramon Amaro; (1) ·
Schepen, A.; Hughes, N.; Gaydon, D.; Sharman, C.; McComb, J.; Mitchell, P.; Carter, J.; (1) ·
Spillias, S.; (1) ·
Teng, J.; Bennett, J.C.; Charles, S.; Chiew, F.; Ji, F.; Potter, N.; Fu, G.; Thatcher, M.; (2) ·
Voskoboinick, Volodymyr; Voskoboinyk, Oleksandr; Voskobiinyk, Andriy; Kharchenko, Anatoliy; (2) ·
Wang, Z.K.; Liu, D.L.; Wang, B.; Cowie, A.; (1) ·
Xiang, K.; Wang, B.; Liu, De Li, Huete, A.; Yu, Q.; (1) ·
Xing, H.; Schwenke, G.D.; (1) ·
Yang, X.N.; Zhang, Y.Q.; Tian, J.; Zhang, X.Z.; Ma, N.; Zhao, Z.G.; (1) ·
Zou, H.; Marshall, L.; Sharma, A.; (1)
Agroforestry and cover crops for improving surface water and groundwater quality (1) ·
Assessment of the impact of winter snowfall on the occurrence of forest fires in the east coast, Korea (2) ·
Assimilating Soil Moisture Information to Improve the Performance of SWAT Hydrological Model (1) ·
Building trust in continental-scale modelling in agriculture (1) ·
Calibration and uncertainty analysis of groundwater models assisted by machine learning surrogates (1) ·
Collaborative intelligence for modelling marine social-ecological systems (1) ·
Comparing the observed and predicted actual evapotranspiration in lumped conceptual hydrological models (1) ·
Compound drought and extreme temperature impacts on Australian wheat yields under climate change (1) ·
Estimation of an extreme flood scenario induced by heavy precipitation, following wildfires for the North - Central California (1) ·
Evaluating Critical Weather Parameters Using Machine Learning Models (1) ·
High speed data access for spatial crop models running in the cloud (1) ·
Impacts of drought on crop yield in the semiarid region (1) ·
Influence of lateral flow on land surface fluxes in southeast Australia (1) ·
Leveraging high-performance computing facilities for the SWAT water quality catchment model (1) ·
Long-range impact-based forecasts for agricultural drought early warning in Australia (1) ·
Machine Learning-Based Wave Downscaling Using Transformer Model, Case Study in Jakarta Bay (1) ·
Modelagem de base processual aplicada ao crescimento e produtividade do eucalipto (1) ·
Modeling the effects of interior headland restoration on estuarine sediment transport processes in a marine-dominant estuary (1) ·
Modelling future gross primary productivity in Australia (1) ·
Modelling the integration of long fallows into cropping systems for adaptation to climate change in the Mediterranean environment of Western Australia (1) ·
Quantification of Mountainous Hydrological Processes in the Aktash River Watershed of Uzbekistan, Central Asia, over the Past Two Decades (1) ·
Realised added value in rainfall trends and variance from regional climate models (2) ·
Redesigning a nutrient model to enable faster model development (1) ·
SIMULATION OF INTERACTION OF WAVES WITH THE PROTECTIVE DAM OF THE DANUBE – BLACK SEA MARINE CHANNEL (2) ·
Simulated efficiency of DMPP applications in reducing N2O emissions from Australian N-fertilized rainfed wheat cropping systems (1) ·
Simulating crop rotations to improve estimates of nutrient losses using APSIM in HPC (1) ·
Simulation modelling to develop an index of inherent risk of nitrogen losses to water from New Zealand's agricultural lands (1) ·
Soil health modelling with APSIM (1) ·
Soil with high plant available water capacity can mitigate the agricultural drought effects on wheat biomass dynamic change (1) ·
Synoptic, Dynamic Analysis and Numerical Simulations of Extreme Flood Cases in Pieria Region (1) ·
The potential of using an inverse modelling approach to predict soil PAWC for summer crops in Australia (1) ·
Use of APSIM Next Generation to identify in-field practices to reduce N leaching under intensive vegetable production systems (1) ·
Use of SCRUM-APSIM to predict soil water and soil nitrogen dynamics in arable crop rotations (1) ·
Water and nitrogen use and productivity of dryland mixed farming system under climate change (1)
http://dl.lib.uom.lk/handle/123/21955 (1) ·
http://mmtt.khpi.edu.ua/article/view/284772 (2) ·
https://asmedigitalcollection.asme.org/POWER/proceedings/POWER2023/87172/V001T04A006/1167505 (1) ·
https://hdl.handle.net/10355/97001 (1) ·
https://ieeexplore.ieee.org/document/10276877/ (1) ·
https://locus.ufv.br//handle/123456789/32039 (1) ·
https://mssanz.org.au/modsim2023/files/avendano334.pdf (1) ·
https://mssanz.org.au/modsim2023/files/chen30.pdf (1) ·
https://mssanz.org.au/modsim2023/files/cichota245.pdf (1) ·
https://mssanz.org.au/modsim2023/files/cichota622.pdf (1) ·
https://mssanz.org.au/modsim2023/files/devanand397.pdf (1) ·
https://mssanz.org.au/modsim2023/files/dodd.pdf (1) ·
https://mssanz.org.au/modsim2023/files/elliott.pdf (1) ·
https://mssanz.org.au/modsim2023/files/he.pdf (1) ·
https://mssanz.org.au/modsim2023/files/herrmann.pdf (1) ·
https://mssanz.org.au/modsim2023/files/huth.pdf (1) ·
https://mssanz.org.au/modsim2023/files/janardhanan.pdf (1) ·
https://mssanz.org.au/modsim2023/files/khaembah.pdf (1) ·
https://mssanz.org.au/modsim2023/files/li657.pdf (1) ·
https://mssanz.org.au/modsim2023/files/liu311.pdf (1) ·
https://mssanz.org.au/modsim2023/files/ma370.pdf (2) ·
https://mssanz.org.au/modsim2023/files/richetti.pdf (1) ·
https://mssanz.org.au/modsim2023/files/schepen.pdf (1) ·
https://mssanz.org.au/modsim2023/files/spillias.pdf (1) ·
https://mssanz.org.au/modsim2023/files/teng316.pdf (2) ·
https://mssanz.org.au/modsim2023/files/wang134.pdf (1) ·
https://mssanz.org.au/modsim2023/files/xiang.pdf (1) ·
https://mssanz.org.au/modsim2023/files/xing579.pdf (1) ·
https://mssanz.org.au/modsim2023/files/yang410.pdf (1) ·
https://mssanz.org.au/modsim2023/files/zou336.pdf (1) ·
https://www.frontiersin.org/articles/10.3389/fmars.2023.1217830/full (1) ·
https://www.mdpi.com/2306-5338/10/8/161 (1) ·
https://www.mdpi.com/2306-5338/10/8/176 (1) ·
https://www.mdpi.com/2673-4931/26/1/65 (1)
10.1109/ICoDSA58501.2023.10276877 (1) ·
10.1115/POWER2023-108893 (1) ·
10.20998/2222-0631.2023.01.09 (2) ·
10.31705/ISERME.2023.11 (1) ·
10.3389/fmars.2023.1217830 (1) ·
10.3390/environsciproc2023026065 (1) ·
10.3390/hydrology10080161 (1) ·
10.3390/hydrology10080176 (1) ·
10.36334/modsim.2023.avendano334 (1) ·
10.36334/modsim.2023.chen30 (1) ·
10.36334/modsim.2023.cichota245 (1) ·
10.36334/modsim.2023.cichota622 (1) ·
10.36334/modsim.2023.devanand397 (1) ·
10.36334/modsim.2023.dodd (1) ·
10.36334/modsim.2023.elliott (1) ·
10.36334/modsim.2023.he (1) ·
10.36334/modsim.2023.herrmann (1) ·
10.36334/modsim.2023.huth (1) ·
10.36334/modsim.2023.janardhanan (1) ·
10.36334/modsim.2023.khaembah (1) ·
10.36334/modsim.2023.li657 (1) ·
10.36334/modsim.2023.liu311 (1) ·
10.36334/modsim.2023.ma370 (2) ·
10.36334/modsim.2023.richetti (1) ·
10.36334/modsim.2023.schepen (1) ·
10.36334/modsim.2023.spillias (1) ·
10.36334/modsim.2023.teng316 (2) ·
10.36334/modsim.2023.wang134 (1) ·
10.36334/modsim.2023.xiang (1) ·
10.36334/modsim.2023.xing579 (1) ·
10.36334/modsim.2023.yang410 (1) ·
10.36334/modsim.2023.zou336 (1) ·
None (2)
Auto downloaded ref at: 2024-08-16 (2) ·
Auto downloaded ref at: 2024-08-17 (1) ·
Auto downloaded ref at: 2024-08-18 (3) ·
Auto downloaded ref at: 2024-08-29 (17) ·
Auto downloaded ref at: 2024-08-30 (1) ·
Auto downloaded ref at: 2024-09-04 (3) ·
Auto downloaded ref at: 2024-09-05 (1) ·
Auto downloaded ref at: 2024-09-07 (4) ·
Auto downloaded ref at: 2024-09-08 (5)
Showing below up to 37 results in range #1 to #37.
R
- Reference:Reference-020179
- Reference:Reference-020182
- Reference:Reference-020824
- Reference:Reference-020945
- Reference:Reference-020949
- Reference:Reference-021046
- Reference:Reference-021124
- Reference:Reference-021126
- Reference:Reference-021128
- Reference:Reference-021129
- Reference:Reference-021130
- Reference:Reference-021138
- Reference:Reference-021140
- Reference:Reference-021145
- Reference:Reference-021149
- Reference:Reference-021160
- Reference:Reference-021161
- Reference:Reference-021171
- Reference:Reference-021395
- Reference:Reference-021555
- Reference:Reference-021759
- Reference:Reference-021854
- Reference:Reference-022003
- Reference:Reference-023220
- Reference:Reference-023472
- Reference:Reference-023842