tag:joss.theoj.org,2005:/papers/edited_by/@kbarnhart?page=2Journal of Open Source Software2021-03-02T13:31:40ZJournal of Open Source Softwarehttps://joss.theoj.orgtag:joss.theoj.org,2005:Paper/22292021-03-02T13:31:40Z2021-03-03T00:01:32Zforestatrisk: a Python package for modelling and forecasting deforestation in the tropicsacceptedv0.22020-12-10 10:14:08 UTC592021-03-02 13:31:40 UTC620212975GhislainVieilledentCIRAD, UMR AMAP, F--34398 Montpellier, France, CIRAD, Forêts et Sociétés, F--34398 Montpellier, France., AMAP, Univ Montpellier, CIRAD, CNRS, INRAE, IRD, Montpellier, France., European Commission, Joint Research Centre (JRC), I--21027 Ispra (VA), Italy.0000-0002-1685-499710.21105/joss.02975https://doi.org/10.5281/zenodo.4570632C, C++https://joss.theoj.org/papers/10.21105/joss.02975.pdfPython, land use change, spatial modelling, spatial analysis, forecasting, spatial autocorrelation, tropical forests, roads, protected areas, biodiversity scenario, ipbes, co2 emissions, ipcctag:joss.theoj.org,2005:Paper/20862020-12-14T20:35:21Z2021-02-15T11:29:50Zgospl: Global Scalable Paleo Landscape Evolutionacceptedv0.2.02020-10-19 08:20:29 UTC562020-12-14 20:35:21 UTC520202804TristanSallesSchool of Geosciences, The University of Sydney, Australia0000-0001-6095-7689ClaireMallardSchool of Geosciences, The University of Sydney, Australia0000-0003-2595-2414SabinZahirovicSchool of Geosciences, The University of Sydney, Australia0000-0002-6751-497610.21105/joss.02804https://doi.org/10.5281/zenodo.4319332Fortran, Python, Jupyter Notebookhttps://joss.theoj.org/papers/10.21105/joss.02804.pdfglobal landscape evolution model, basin evolution and stratigraphytag:joss.theoj.org,2005:Paper/16012020-11-05T21:56:42Z2021-02-15T11:30:49ZIPART: A Python Package for Image-Processing based Atmospheric River Trackingacceptedv1.02020-05-20 13:13:35 UTC552020-11-05 21:56:42 UTC520202407GuangzhiXuKey Laboratory of Physical Oceanography, Institute for Advanced Ocean Studies, Ocean University of China and Qingdao National Laboratory for Marine Science and Technology, Qingdao, China0000-0001-5877-5608XiaohuiMaKey Laboratory of Physical Oceanography, Institute for Advanced Ocean Studies, Ocean University of China and Qingdao National Laboratory for Marine Science and Technology, Qingdao, China, The International Laboratory for High-Resolution Earth System Prediction, Texas A&M University, College Station, Texas, USAPingChangDepartment of Oceanography and Department of Atmospheric Sciences, Texas A&M University, College Station, Texas, USA, The International Laboratory for High-Resolution Earth System Prediction, Texas A&M University, College Station, Texas, USA10.21105/joss.02407https://doi.org/10.5281/zenodo.4164826Python, Jupyter Notebookhttps://joss.theoj.org/papers/10.21105/joss.02407.pdfmeteorology, hydrological cycle, image processingtag:joss.theoj.org,2005:Paper/17512020-10-27T20:56:05Z2021-02-15T11:30:27Zpvpumpingsystem: A Python package for modeling and sizing photovoltaic water pumping systemsacceptedv1.02020-06-18 13:10:41 UTC542020-10-27 20:56:05 UTC520202637TanguyR.LunelIndustrial Research Group In Technologies of Energy and Energy Efficiency (T3E), Department of Mechanical Sciences, Ecole de Technologie Supérieure Montreal, Department of Material Science and Engineering, Institut National des Sciences Appliquées Rennes0000-0003-3008-1422DanielR.RousseIndustrial Research Group In Technologies of Energy and Energy Efficiency (T3E), Department of Mechanical Sciences, Ecole de Technologie Supérieure Montreal0000-0002-7247-570510.21105/joss.02637https://doi.org/10.5281/zenodo.4134280Pythonhttps://joss.theoj.org/papers/10.21105/joss.02637.pdfsizing, modeling, water pumping, photovoltaics, solar energytag:joss.theoj.org,2005:Paper/19382020-10-25T18:09:45Z2021-02-15T11:30:09Zdorado: A Python package for simulating passive particle transport in shallow-water flowsacceptedv1.0.02020-08-11 23:11:58 UTC542020-10-25 18:09:45 UTC520202585JayaramHariharanDepartment of Civil, Architectural and Environmental Engineering, The University of Texas at Austin0000-0002-1343-193XKyleWrightDepartment of Civil, Architectural and Environmental Engineering, The University of Texas at Austin0000-0001-5142-1786PaolaPassalacquaDepartment of Civil, Architectural and Environmental Engineering, The University of Texas at Austin0000-0002-4763-723110.21105/joss.02585https://doi.org/10.5281/zenodo.4118342Pythonhttps://joss.theoj.org/papers/10.21105/joss.02585.pdfLagrangian transport, random walk, hydrodynamicstag:joss.theoj.org,2005:Paper/16022020-08-04T23:39:31Z2021-02-15T11:30:49ZPySWMM: The Python Interface to Stormwater Management Model (SWMM)acceptedv0.6.12020-05-20 13:16:04 UTC522020-08-04 23:39:31 UTC520202292BryantE.McDonnellEmNet, a Xylem Brand0000-0002-6250-2220KatherineRatliffU.S. Environmental Protection Agency, Office of Research and Development0000-0003-1410-2756MichaelE.TrybyU.S. Environmental Protection Agency, Office of Research and DevelopmentJenniferJia XinWuEmNet, a Xylem BrandAbhiramMullapudiDepartment of Civil and Environmental Engineering, University of Michigan0000-0001-8141-362110.21105/joss.02292https://doi.org/10.5281/zenodo.3972214Python, Chttps://joss.theoj.org/papers/10.21105/joss.02292.pdfSWMM, Stormwater, Hydrology, Hydraulics, OpenWaterAnalyticstag:joss.theoj.org,2005:Paper/13952020-06-19T18:21:27Z2021-02-15T11:31:16ZCoreBreakout: Subsurface Core Images to Depth-Registered Datasetsacceptedv0.22019-12-09 21:02:11 UTC502020-06-19 18:21:27 UTC520201969RossG.MeyerDepartment of Geology and Geological Engineering, Colorado School of Mines0000-0003-2344-554XThomasP.MartinDepartment of Geology and Geological Engineering, Colorado School of Mines0000-0002-4171-0004ZaneR.JobeDepartment of Geology and Geological Engineering, Colorado School of Mines0000-0002-7654-452810.21105/joss.01969https://doi.org/10.5281/zenodo.3900640Pythonhttps://joss.theoj.org/papers/10.21105/joss.01969.pdfimage processing, deep learning, geology, geoscience, subsurfacetag:joss.theoj.org,2005:Paper/14032020-04-21T16:48:41Z2021-02-15T11:31:15ZMuseo ToolBox: A Python library for remote sensing including a new way to handle rasters.acceptedv2.0.02019-12-12 14:10:40 UTC482020-04-21 16:48:41 UTC520201978NicolasKarasiakUniversité de Toulouse, INRAE, UMR DYNAFOR, Castanet-Tolosan, France0000-0002-1558-081610.21105/joss.01978https://doi.org/10.5281/zenodo.3759215Pythonhttps://joss.theoj.org/papers/10.21105/joss.01978.pdfremote sensing, spatial cross-validation, raster, vector, autocorrelationtag:joss.theoj.org,2005:Paper/14382020-03-17T14:23:15Z2021-02-15T11:31:09ZSeisModels.jl: A Julia package for models of the Earth's interioracceptedv1.0.02020-01-13 14:29:45 UTC472020-03-17 14:23:15 UTC520202043AndyNowackiSchool of Earth and Environment, University of Leeds0000-0001-7669-738310.21105/joss.02043https://doi.org/10.6084/m9.figshare.11993313Juliahttps://joss.theoj.org/papers/10.21105/joss.02043.pdfgeophysics, seismology, Earthtag:joss.theoj.org,2005:Paper/14632020-03-01T23:57:46Z2021-02-15T11:31:03Zpsi-collect: A Python module for post-storm image collection and catalogingacceptedv0.62020-02-03 13:17:10 UTC472020-03-01 23:57:46 UTC520202075MatthewC.MoretzDepartment of Computer Science, The University of North Carolina at GreensboroDanielFosterDepartment of Computer Science, The University of North Carolina at GreensboroJohnWeberDepartment of Computer Science, The University of North Carolina at GreensboroRintyChowdhuryDepartment of Computer Science, The University of North Carolina at GreensboroShahNafisRafiqueDepartment of Computer Science, The University of North Carolina at GreensboroEvanB.GoldsteinDepartment of Geography, Environment, and Sustainability, The University of North Carolina at Greensboro0000-0001-9358-1016SomyaD.MohantyDepartment of Computer Science, The University of North Carolina at Greensboro0000-0002-4253-520110.21105/joss.02075https://doi.org/10.5281/zenodo.3687347Python, GLSLhttps://joss.theoj.org/papers/10.21105/joss.02075.pdfcoastal, storm, morphology, hurricane, severe weather, NOAA