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@article{fisher2019parametric,
  title     = {Parametric controls on vegetation responses to biogeochemical forcing in the CLM5},
  author    = {Fisher, Rosie A and Wieder, William R and Sanderson, Benjamin M and Koven, Charles D and Oleson, Keith W and Xu, Chonggang and Fisher, Joshua B and Shi, Mingjie and Walker, Anthony P and Lawrence, David M},
  journal   = {Journal of Advances in Modeling Earth Systems},
  volume    = {11},
  number    = {9},
  pages     = {2879--2895},
  year      = {2019},
  publisher = {Wiley Online Library},
  doi       = {10.1029/2019MS001609}
}

@article{chen2020global,
  title     = {Global land use for 2015--2100 at 0.05 resolution under diverse socioeconomic and climate scenarios},
  author    = {Chen, Min and Vernon, Chris R and Graham, Neal T and Hejazi, Mohamad and Huang, Maoyi and Cheng, Yanyan and Calvin, Katherine},
  journal   = {Scientific Data},
  volume    = {7},
  number    = {1},
  pages     = {1--11},
  year      = {2020},
  publisher = {Nature Publishing Group},
  doi       = {10.1038/s41597-020-00669-x}
}

@article{gorelick_google_2017,
  title      = {Google {Earth} {Engine}: {Planetary}-scale geospatial analysis for everyone},
  volume     = {202},
  issn       = {00344257},
  shorttitle = {Google {Earth} {Engine}},
  url        = {https://linkinghub.elsevier.com/retrieve/pii/S0034425717302900},
  doi        = {10.1016/j.rse.2017.06.031},
  language   = {en},
  urldate    = {2022-02-23},
  journal    = {Remote Sensing of Environment},
  author     = {Gorelick, Noel and Hancher, Matt and Dixon, Mike and Ilyushchenko, Simon and Thau, David and Moore, Rebecca},
  month      = dec,
  year       = {2017},
  pages      = {18--27}
}

@book{brooks_hydrology_2003,
  address   = {Ames, Iowa},
  edition   = {3rd ed},
  title     = {Hydrology and the management of watersheds},
  isbn      = {978-0-8138-2985-2},
  publisher = {Iowa State Press},
  editor    = {Brooks, Kenneth N.},
  year      = {2003},
  keywords  = {Economic aspects, Social aspects, Watershed management}
}

@article{boyle_toward_2001,
  title      = {Toward improved streamflow forecasts: value of semidistributed modeling},
  volume     = {37},
  issn       = {00431397},
  shorttitle = {Toward improved streamflow forecasts},
  url        = {http://doi.wiley.com/10.1029/2000WR000207},
  doi        = {10.1029/2000WR000207},
  language   = {en},
  number     = {11},
  urldate    = {2022-02-23},
  journal    = {Water Resources Research},
  author     = {Boyle, Douglas P. and Gupta, Hoshin V. and Sorooshian, Soroosh and Koren, Victor and Zhang, Ziya and Smith, Michael},
  month      = nov,
  year       = {2001},
  pages      = {2749--2759},
  file       = {Full Text:C\:\\Users\\318596\\Zotero\\storage\\TB94VVE3\\Boyle et al. - 2001 - Toward improved streamflow forecasts value of sem.pdf:application/pdf}
}

@article{piccolroaz_hyperstream_2016,
  title      = {{HYPERstream}: a multi-scale framework for streamflow routing in large-scale hydrological model},
  volume     = {20},
  issn       = {1607-7938},
  shorttitle = {{HYPERstream}},
  url        = {https://hess.copernicus.org/articles/20/2047/2016/},
  doi        = {10.5194/hess-20-2047-2016},
  abstract   = {Abstract. We present HYPERstream, an innovative streamflow routing scheme based on the width function instantaneous unit hydrograph (WFIUH) theory, which is specifically designed to facilitate coupling with weather forecasting and climate models. The proposed routing scheme preserves geomorphological dispersion of the river network when dealing with horizontal hydrological fluxes, irrespective of the computational grid size inherited from the overlaying climate model providing the meteorological forcing. This is achieved by simulating routing within the river network through suitable transfer functions obtained by applying the WFIUH theory to the desired level of detail. The underlying principle is similar to the block-effective dispersion employed in groundwater hydrology, with the transfer functions used to represent the effect on streamflow of morphological heterogeneity at scales smaller than the computational grid. Transfer functions are constructed for each grid cell with respect to the nodes of the network where streamflow is simulated, by taking advantage of the detailed morphological information contained in the digital elevation model (DEM) of the zone of interest. These characteristics make HYPERstream well suited for multi-scale applications, ranging from catchment up to continental scale, and to investigate extreme events (e.g., floods) that require an accurate description of routing through the river network. The routing scheme enjoys parsimony in the adopted parametrization and computational efficiency, leading to a dramatic reduction of the computational effort with respect to full-gridded models at comparable level of accuracy. HYPERstream is designed with a simple and flexible modular structure that allows for the selection of any rainfall-runoff model to be coupled with the routing scheme and the choice of different hillslope processes to be represented, and it makes the framework particularly suitable to massive parallelization, customization according to the specific user needs and preferences, and continuous development and improvements.},
  language   = {en},
  number     = {5},
  urldate    = {2022-02-23},
  journal    = {Hydrology and Earth System Sciences},
  author     = {Piccolroaz, Sebastiano and Di Lazzaro, Michele and Zarlenga, Antonio and Majone, Bruno and Bellin, Alberto and Fiori, Aldo},
  month      = may,
  year       = {2016},
  pages      = {2047--2061},
  file       = {Full Text:C\:\\Users\\318596\\Zotero\\storage\\UTQQPDT3\\Piccolroaz et al. - 2016 - HYPERstream a multi-scale framework for streamflo.pdf:application/pdf}
}

@incollection{wilson_water_2008,
  address   = {Berlin, Heidelberg},
  title     = {Water in the {Landscape}: {A} {Review} of {Contemporary} {Flow} {Routing} {Algorithms}},
  isbn      = {978-3-540-77800-4},
  url       = {https://doi.org/10.1007/978-3-540-77800-4_12},
  abstract  = {This chapter reviews the various flow routing algorithms that simulate the distribution and flow of water across landscapes. The distinguishing characteristics of nine such algorithms and the experiments that have been conducted to evaluate their performance over the past 15 years are discussed. From there, we consider three sets of enduring challenges: (1) the role of scale and feedback between soil and water, and the need to consider these issues when characterizing the properties of both; (2) the need for dynamic flow routing algorithms and related indices in many landscapes; and (3) some of the as yet unrealized opportunities for treating space and time as continuous variables in the representation of soil water properties. The chapter concludes by noting the current state-of-the-art and where we might go from here},
  booktitle = {Advances in {Digital} {Terrain} {Analysis}},
  publisher = {Springer Berlin Heidelberg},
  author    = {Wilson, John P. and Aggett, Graeme and Yongxin, Deng and Lam, Christine S.},
  editor    = {Zhou, Qiming and Lees, Brian and Tang, Guo-an},
  year      = {2008},
  doi       = {10.1007/978-3-540-77800-4_12},
  pages     = {213--236}
}

@techreport{fenton_calculation_2001,
  title       = {The calculation of streamflow from measurements of stage},
  institution = {Cooperative Research Centre for Catchment Hydrology},
  author      = {Fenton, John D and Keller, Robert John},
  month       = jan,
  year        = {2001},
  note        = {Publisher: CRC for Catchment Hydrology Boca Raton, FL, USA}
}

@techreport{colby_relationship_1956,
  title       = {Relationship of sediment discharge to streamflow},
  institution = {US Dept. of the Interior, Geological Survey, Water Resources Division,},
  author      = {Colby, BR},
  year        = {1956},
  doi         = {10.3133/ofr5627}
}

@article{addor_camels_2017,
  title   = {The {CAMELS} data set: catchment attributes and meteorology for large-sample studies},
  volume  = {21},
  doi     = {10.5194/hess-21-5293-2017},
  number  = {10},
  journal = {Hydrology and Earth System Sciences},
  author  = {Addor, Nans and Newman, Andrew J and Mizukami, Naoki and Clark, Martyn P},
  year    = {2017},
  note    = {Publisher: Copernicus GmbH},
  pages   = {5293--5313}
}

@article{chagas_camels-br_2020,
  title   = {{CAMELS}-{BR}: hydrometeorological time series and landscape attributes for 897 catchments in {Brazil}},
  volume  = {12},
  doi     = {10.5194/essd-12-2075-2020},
  number  = {3},
  journal = {Earth System Science Data},
  author  = {Chagas, Vinícius BP and Chaffe, Pedro LB and Addor, Nans and Fan, Fernando M and Fleischmann, Ayan S and Paiva, Rodrigo CD and Siqueira, Vinícius A},
  year    = {2020},
  note    = {Publisher: Copernicus GmbH},
  pages   = {2075--2096}
}

@article{fowler_camels-aus_2021,
  title   = {{CAMELS}-{AUS}: hydrometeorological time series and landscape attributes for 222 catchments in {Australia}},
  volume  = {13},
  doi     = {10.5194/essd-13-3847-2021},
  number  = {8},
  journal = {Earth System Science Data},
  author  = {Fowler, Keirnan JA and Acharya, Suwash Chandra and Addor, Nans and Chou, Chihchung and Peel, Murray C},
  year    = {2021},
  note    = {Publisher: Copernicus GmbH},
  pages   = {3847--3867}
}

@article{alvarez-garreton_camels-cl_2018,
  title   = {The {CAMELS}-{CL} dataset: catchment attributes and meteorology for large sample studies–{Chile} dataset},
  volume  = {22},
  doi     = {10.5194/hess-22-5817-2018},
  number  = {11},
  journal = {Hydrology and Earth System Sciences},
  author  = {Alvarez-Garreton, Camila and Mendoza, Pablo A and Boisier, Juan Pablo and Addor, Nans and Galleguillos, Mauricio and Zambrano-Bigiarini, Mauricio and Lara, Antonio and Puelma, Cristóbal and Cortes, Gonzalo and Garreaud, Rene and {others}},
  year    = {2018},
  note    = {Publisher: Copernicus GmbH},
  pages   = {5817--5846}
}

@article{arsenault_comprehensive_2020,
  title   = {A comprehensive, multisource database for hydrometeorological modeling of 14,425 {North} {American} watersheds},
  volume  = {7},
  doi     = {10.1038/s41597-020-00583-2},
  number  = {1},
  journal = {Scientific Data},
  author  = {Arsenault, Richard and Brissette, François and Martel, Jean-Luc and Troin, Magali and Lévesque, Guillaume and Davidson-Chaput, Jonathan and Gonzalez, Mariana Castañeda and Ameli, Ali and Poulin, Annie},
  year    = {2020},
  note    = {Publisher: Nature Publishing Group},
  pages   = {1--12}
}

@article{linke_global_2019,
  title   = {Global hydro-environmental sub-basin and river reach characteristics at high spatial resolution},
  volume  = {6},
  doi     = {10.1038/s41597-019-0300-6},
  number  = {1},
  journal = {Scientific data},
  author  = {Linke, Simon and Lehner, Bernhard and Ouellet Dallaire, Camille and Ariwi, Joseph and Grill, Günther and Anand, Mira and Beames, Penny and Burchard-Levine, Vicente and Maxwell, Sally and Moidu, Hana and {others}},
  year    = {2019},
  note    = {Publisher: Nature Publishing Group},
  pages   = {1--15}
}

@article{kratzert_toward_2019,
  title   = {Toward improved predictions in ungauged basins: {Exploiting} the power of machine learning},
  volume  = {55},
  doi     = {10.1029/2019WR026065},
  number  = {12},
  journal = {Water Resources Research},
  author  = {Kratzert, Frederik and Klotz, Daniel and Herrnegger, Mathew and Sampson, Alden K and Hochreiter, Sepp and Nearing, Grey S},
  year    = {2019},
  note    = {Publisher: Wiley Online Library},
  pages   = {11344--11354}
}

@article{gauch_rainfallrunoff_2021,
  title   = {Rainfall–runoff prediction at multiple timescales with a single {Long} {Short}-{Term} {Memory} network},
  volume  = {25},
  doi     = {10.5194/hess-25-2045-2021},
  number  = {4},
  journal = {Hydrology and Earth System Sciences},
  author  = {Gauch, Martin and Kratzert, Frederik and Klotz, Daniel and Nearing, Grey and Lin, Jimmy and Hochreiter, Sepp},
  year    = {2021},
  note    = {Publisher: Copernicus GmbH},
  pages   = {2045--2062}
}

@article{nearing_data_2021,
  title   = {Data assimilation and autoregression for using near-real-time streamflow observations in long short-term memory networks},
  doi     = {10.5194/hess-2021-515},
  journal = {Hydrology and Earth System Sciences Discussions},
  author  = {Nearing, Grey S and Klotz, Daniel and Sampson, Alden Keefe and Kratzert, Frederik and Gauch, Martin and Frame, Jonathan M and Shalev, Guy and Nevo, Sella},
  year    = {2021},
  note    = {Publisher: Copernicus GmbH},
  pages   = {1--25}
}

@article{kratzert_note_2021,
  title   = {A note on leveraging synergy in multiple meteorological data sets with deep learning for rainfall–runoff modeling},
  volume  = {25},
  doi     = {10.5194/hess-25-2685-2021},
  number  = {5},
  journal = {Hydrology and Earth System Sciences},
  author  = {Kratzert, Frederik and Klotz, Daniel and Hochreiter, Sepp and Nearing, Grey S},
  year    = {2021},
  note    = {Publisher: Copernicus GmbH},
  pages   = {2685--2703}
}

@article{tarboton_terrain_2005,
  title   = {Terrain analysis using digital elevation models ({TauDEM})},
  volume  = {3012},
  journal = {Utah State University, Logan},
  author  = {Tarboton, David G},
  year    = {2005},
  pages   = {2018}
}

@misc{bartos_pysheds_2020,
  title  = {pysheds: simple and fast watershed delineation in python},
  url    = {https://github.com/mdbartos/pysheds},
  author = {Bartos, Matt},
  year   = {2020},
  doi    = {10.5281/zenodo.3822494}
}

@article{lindsay_whitebox_2016,
  title      = {Whitebox {GAT}: {A} case study in geomorphometric analysis},
  volume     = {95},
  issn       = {00983004},
  shorttitle = {Whitebox {GAT}},
  url        = {https://linkinghub.elsevier.com/retrieve/pii/S0098300416301820},
  doi        = {10.1016/j.cageo.2016.07.003},
  language   = {en},
  urldate    = {2022-02-23},
  journal    = {Computers \& Geosciences},
  author     = {Lindsay, J.B.},
  month      = oct,
  year       = {2016},
  pages      = {75--84}
}

@article{conrad_system_2015,
  title    = {System for {Automated} {Geoscientific} {Analyses} ({SAGA}) v. 2.1.4},
  volume   = {8},
  issn     = {1991-9603},
  url      = {https://gmd.copernicus.org/articles/8/1991/2015/},
  doi      = {10.5194/gmd-8-1991-2015},
  abstract = {Abstract. The System for Automated Geoscientific Analyses (SAGA) is an open source geographic information system (GIS), mainly licensed under the GNU General Public License. Since its first release in 2004, SAGA has rapidly developed from a specialized tool for digital terrain analysis to a comprehensive and globally established GIS platform for scientific analysis and modeling. SAGA is coded in C++ in an object oriented design and runs under several operating systems including Windows and Linux. Key functional features of the modular software architecture comprise an application programming interface for the development and implementation of new geoscientific methods, a user friendly graphical user interface with many visualization options, a command line interpreter, and interfaces to interpreted languages like R and Python. The current version 2.1.4 offers more than 600 tools, which are implemented in dynamically loadable libraries or shared objects and represent the broad scopes of SAGA in numerous fields of geoscientific endeavor and beyond. In this paper, we inform about the system's architecture, functionality, and its current state of development and implementation. Furthermore, we highlight the wide spectrum of scientific applications of SAGA in a review of published studies, with special emphasis on the core application areas digital terrain analysis, geomorphology, soil science, climatology and meteorology, as well as remote sensing.},
  language = {en},
  number   = {7},
  urldate  = {2022-02-23},
  journal  = {Geoscientific Model Development},
  author   = {Conrad, O. and Bechtel, B. and Bock, M. and Dietrich, H. and Fischer, E. and Gerlitz, L. and Wehberg, J. and Wichmann, V. and Böhner, J.},
  month    = jul,
  year     = {2015},
  pages    = {1991--2007},
  file     = {Full Text:C\:\\Users\\318596\\Zotero\\storage\\ZMW9YVIF\\Conrad et al. - 2015 - System for Automated Geoscientific Analyses (SAGA).pdf:application/pdf}
}

@article{gorelick_google_2017-1,
  title   = {Google {Earth} {Engine}: {Planetary}-scale geospatial analysis for everyone},
  volume  = {202},
  doi     = {10.1016/j.rse.2017.06.031},
  journal = {Remote sensing of Environment},
  author  = {Gorelick, Noel and Hancher, Matt and Dixon, Mike and Ilyushchenko, Simon and Thau, David and Moore, Rebecca},
  year    = {2017},
  note    = {Publisher: Elsevier},
  pages   = {18--27}
}

@misc{principe_gee_tools_2021,
  title     = {gee\_tools},
  url       = {https://github.com/gee-community/gee_tools},
  publisher = {GitHub},
  author    = {Principe, Rodrigo E.},
  year      = {2021},
  note      = {Publication Title: GitHub repository}
}

@article{wu_geemap_2020,
  title   = {geemap: {A} {Python} package for interactive mapping with {Google} {Earth} {Engine}},
  volume  = {5},
  doi     = {10.21105/joss.02305},
  number  = {51},
  journal = {Journal of Open Source Software},
  author  = {Wu, Qiusheng},
  year    = {2020},
  pages   = {2305}
}

@article{montero_eemont_2021,
  title   = {eemont: {A} {Python} package that extends {Google} {Earth} {Engine}},
  volume  = {6},
  doi     = {10.21105/joss.03168},
  number  = {62},
  journal = {Journal of Open Source Software},
  author  = {Montero, David},
  year    = {2021},
  pages   = {3168}
}

@misc{markert_restee_2021,
  title     = {restee},
  url       = {https://github.com/KMarkert/restee},
  publisher = {GitHub},
  author    = {Markert, Kel},
  year      = {2021},
  note      = {Publication Title: GitHub repository}
}

@article{yamazaki_merit_2019,
  title   = {{MERIT} {Hydro}: {A} high-resolution global hydrography map based on latest topography dataset},
  volume  = {55},
  doi     = {10.1029/2019WR024873},
  number  = {6},
  journal = {Water Resources Research},
  author  = {Yamazaki, Dai and Ikeshima, Daiki and Sosa, Jeison and Bates, Paul D and Allen, George H and Pavelsky, Tamlin M},
  year    = {2019},
  note    = {Publisher: Wiley Online Library},
  pages   = {5053--5073}
}

@techreport{lehner_hydrobasins_2014,
  type   = {Technical {Report}},
  title  = {{HydroBASINS}: {Global} watershed boundaries and sub-basin delineations derived from {HydroSHEDS} data at 15 second resolution—{Technical} documentation version 1. c},
  author = {Lehner, B and Grill, G},
  year   = {2014}
}

@misc{prior_vote-dams_2022,
  title      = {{VotE}-{Dams}: a compilation of global dams' locations and attributes (v1)},
  shorttitle = {{VotE}-{Dams}},
  url        = {https://www.osti.gov/servlets/purl/1843541/},
  abstract   = {This dataset represents a compilation of two global and three USA-specific datasets of dam locations and their attributes. The major hurdle toward developing this compilation was the identification of duplicates within the source datasets, especially given the variable precision of dam location coordinates. The most immediately-useful product in this dataset is a spreadsheet (VotE-Dams\_v1.csv) that documents the unique dams found across the datasets, their coordinates, and their ids within the respective source datasets. We do not reproduce the source datasets (GRaND, GOODD, GeoDAR, NID, and EHA) here, but their download locations are provided in the README files ('Overview' tab). Some of the source datasets are provided as shapefiles, which require geospatial data software to open (e.g. QGIS/ArcGIS for graphical display, geopandas for Python, rgdal for R, many others freely available). The provided README documents metadata of the source datasets and provides attribute-linking information (i.e. matches attributes among various source datasets that contain the same, or similar, information but have different names). Note that the README is provided as both .xslx and a collection of .csvs (one per tab in the .xslx file). We suggest using the .xlsx version that preserves images, formatting, and sheets. .xlsx files can be viewed using (free) Google Docs or Microsoft Excel.Finally, we provide Technical Documentation.pdf that describes the procedures used to identify unique and duplicate dams.The title of this dataset refers to our 'Veins of the Earth' (VotE) project, which seeks to provide a flexible, scale-free representation of the Earth's river networks. Dams are a critical component of VotE as they heavily influence flows throughout river networks.},
  language   = {en},
  urldate    = {2022-02-23},
  publisher  = {Environmental System Science Data Infrastructure for a Virtual Ecosystem},
  author     = {Prior, Elizabeth and Schwenk, Jon and Rowland, Joel},
  year       = {2022},
  doi        = {10.15485/1843541},
  note       = {Type: dataset},
  keywords   = {54 ENVIRONMENTAL SCIENCES, Earth Science \> Human Dimensions \> Infrastructure \> Dams, human impacts, reservoirs, river networks, streamflow}
}

@book{gdalogr_contributors_gdalogr_2020,
  title     = {{GDAL}/{OGR} {Geospatial} {Data} {Abstraction} software {Library}},
  url       = {https://gdal.org},
  publisher = {Open Source Geospatial Foundation},
  author    = {{GDAL/OGR contributors}},
  year      = {2020}
}

@article{harris_array_2020,
  title   = {Array programming with {NumPy}},
  volume  = {585},
  url     = {https://doi.org/10.1038/s41586-020-2649-2},
  doi     = {10.1038/s41586-020-2649-2},
  number  = {7825},
  journal = {Nature},
  author  = {Harris, Charles R. and Millman, K. Jarrod and Walt, Stéfan J. van der and Gommers, Ralf and Virtanen, Pauli and Cournapeau, David and Wieser, Eric and Taylor, Julian and Berg, Sebastian and Smith, Nathaniel J. and Kern, Robert and Picus, Matti and Hoyer, Stephan and Kerkwijk, Marten H. van and Brett, Matthew and Haldane, Allan and Río, Jaime Fernández del and Wiebe, Mark and Peterson, Pearu and Gérard-Marchant, Pierre and Sheppard, Kevin and Reddy, Tyler and Weckesser, Warren and Abbasi, Hameer and Gohlke, Christoph and Oliphant, Travis E.},
  month   = sep,
  year    = {2020},
  note    = {Publisher: Springer Science and Business Media LLC},
  pages   = {357--362}
}

@misc{jordahl_geopandasgeopandas_2020,
  title     = {geopandas/geopandas: v0.8.1},
  url       = {https://doi.org/10.5281/zenodo.3946761},
  publisher = {Zenodo},
  author    = {Jordahl, Kelsey and Bossche, Joris Van den and Fleischmann, Martin and Wasserman, Jacob and McBride, James and Gerard, Jeffrey and Tratner, Jeff and Perry, Matthew and Badaracco, Adrian Garcia and Farmer, Carson and Hjelle, Geir Arne and Snow, Alan D. and Cochran, Micah and Gillies, Sean and Culbertson, Lucas and Bartos, Matt and Eubank, Nick and {maxalbert} and Bilogur, Aleksey and Rey, Sergio and Ren, Christopher and Arribas-Bel, Dani and Wasser, Leah and Wolf, Levi John and Journois, Martin and Wilson, Joshua and Greenhall, Adam and Holdgraf, Chris and {Filipe} and Leblanc, François},
  month     = jul,
  year      = {2020},
  doi       = {10.5281/zenodo.3946761}
}

@misc{gillies_shapely_2007,
  title     = {Shapely: manipulation and analysis of geometric objects},
  url       = {https://github.com/Toblerity/Shapely},
  publisher = {toblerity.org},
  author    = {Gillies, Sean and {others}},
  year      = {2007}
}

@misc{snow_pyproj4pyproj_2021,
  title      = {pyproj4/pyproj: 3.3.0 {Release}},
  copyright  = {Open Access},
  shorttitle = {pyproj4/pyproj},
  url        = {https://zenodo.org/record/2592232},
  abstract   = {Changes WHL: Wheels contain PROJ 8.2.0 DEP: Minimum supported Python version 3.8 (issue \#930) DEP: Minimum PROJ version 8.0 (issue \#940) BUG: Prepend "Derived" to CRS type name if CRS is derived (issue \#932) BUG: Improved handling of inf values in {\textless}code{\textgreater}pyproj.transformer.Transformer.transform\_bounds{\textless}/code{\textgreater} (pull \#961) BUG: CRS CF conversions mismatch of PROJ parameters in rotated pole (issue \#948) ENH: Add support for transforming bounds at the poles in {\textless}code{\textgreater}pyproj.transformer.Transformer.transform\_bounds{\textless}/code{\textgreater} (pull \#962) ENH: Added {\textless}code{\textgreater}pyproj.transformer.Transformer.source\_crs{\textless}/code{\textgreater} \& {\textless}code{\textgreater}pyproj.transformer.Transformer.target\_crs{\textless}/code{\textgreater} (pull \#976) ENH: Added {\textless}code{\textgreater}pyproj.crs.coordinate\_operation.PoleRotationNetCDFCFConversion{\textless}/code{\textgreater} (issue \#948) ENH: Added {\textless}code{\textgreater}pyproj.database.get\_database\_metadata{\textless}/code{\textgreater} (issue \#990) ENH: Added PROJ database metadata to {\textless}code{\textgreater}pyproj.show\_versions{\textless}/code{\textgreater} (issue \#990) Contributors A total of 3 people contributed patches to this release. People with a "+" by their names contributed a patch for the first time. Bill Little + Gerrit Holl + Alan D. Snow Other contributions: Bas Couwenberg - testing the builds with Debian. Jos de Kloe - testing the builds with Fedora. Christoph Gohlke - providing Window's wheels. Joris Van den Bossche - PR review.},
  urldate    = {2022-02-23},
  publisher  = {Zenodo},
  author     = {Snow, Alan D. and Whitaker, Jeff and Cochran, Micah and Van Den Bossche, Joris and Mayo, Chris and Miara, Idan and De Kloe, Jos and Karney, Charles and Couwenberg, Bas and Lostis, Guillaume and Dearing, Justin and Ouzounoudis, George and Filipe and Jurd, Brendan and Gohlke, Christoph and Hoese, David and Itkin, Mikhail and May, Ryan and Heitor and Wiedemann, Bernhard M. and Little, Bill and Barker, Chris and Willoughby, Chris and Haberthür, David and Popov, Eduard and Holl, Gerrit and De Maeyer, Jakob and Ranalli, Joe and Evers, Kristian and Da Costa, Marco Aurélio},
  month      = nov,
  year       = {2021},
  doi        = {10.5281/ZENODO.2592232}
}

@article{van_der_walt_scikit-image_2014,
  title   = {scikit-image: image processing in {Python}},
  volume  = {2},
  journal = {PeerJ},
  author  = {Van der Walt, Stefan and Schönberger, Johannes L and Nunez-Iglesias, Juan and Boulogne, François and Warner, Joshua D and Yager, Neil and Gouillart, Emmanuelle and Yu, Tony},
  year    = {2014},
  note    = {Publisher: PeerJ Inc.},
  pages   = {e453}
}

@article{virtanen_scipy_2020,
  title   = {{SciPy} 1.0: {Fundamental} {Algorithms} for {Scientific} {Computing} in {Python}},
  volume  = {17},
  doi     = {10.1038/s41592-019-0686-2},
  journal = {Nature Methods},
  author  = {Virtanen, Pauli and Gommers, Ralf and Oliphant, Travis E. and Haberland, Matt and Reddy, Tyler and Cournapeau, David and Burovski, Evgeni and Peterson, Pearu and Weckesser, Warren and Bright, Jonathan and van der Walt, Stéfan J. and Brett, Matthew and Wilson, Joshua and Millman, K. Jarrod and Mayorov, Nikolay and Nelson, Andrew R. J. and Jones, Eric and Kern, Robert and Larson, Eric and Carey, C J and Polat, İlhan and Feng, Yu and Moore, Eric W. and VanderPlas, Jake and Laxalde, Denis and Perktold, Josef and Cimrman, Robert and Henriksen, Ian and Quintero, E. A. and Harris, Charles R. and Archibald, Anne M. and Ribeiro, Antônio H. and Pedregosa, Fabian and van Mulbregt, Paul and {SciPy 1.0 Contributors}},
  year    = {2020},
  pages   = {261--272}
}

@article{schwenk_life_2015,
  title      = {The life of a meander bend: {Connecting} shape and dynamics via analysis of a numerical model},
  volume     = {120},
  issn       = {21699003},
  shorttitle = {The life of a meander bend},
  url        = {http://doi.wiley.com/10.1002/2014JF003252},
  doi        = {10.1002/2014JF003252},
  language   = {en},
  number     = {4},
  urldate    = {2022-02-23},
  journal    = {Journal of Geophysical Research: Earth Surface},
  author     = {Schwenk, Jon and Lanzoni, Stefano and Foufoula-Georgiou, Efi},
  month      = apr,
  year       = {2015},
  pages      = {690--710}
}

@article{schwenk_high_2017,
  title      = {High spatiotemporal resolution of river planform dynamics from {Landsat}: {The} {RivMAP} toolbox and results from the {Ucayali} {River}: {Annual} {Planform} {Morphodynamics}, {Ucayali}},
  volume     = {4},
  issn       = {23335084},
  shorttitle = {High spatiotemporal resolution of river planform dynamics from {Landsat}},
  url        = {http://doi.wiley.com/10.1002/2016EA000196},
  doi        = {10.1002/2016EA000196},
  language   = {en},
  number     = {2},
  urldate    = {2022-02-23},
  journal    = {Earth and Space Science},
  author     = {Schwenk, Jon and Khandelwal, Ankush and Fratkin, Mulu and Kumar, Vipin and Foufoula-Georgiou, Efi},
  month      = feb,
  year       = {2017},
  pages      = {46--75},
  file       = {Full Text:C\:\\Users\\318596\\Zotero\\storage\\M988UJVT\\Schwenk et al. - 2017 - High spatiotemporal resolution of river planform d.pdf:application/pdf}
}

@article{schwenk_meander_2016,
  title    = {Meander cutoffs nonlocally accelerate upstream and downstream migration and channel widening},
  volume   = {43},
  issn     = {0094-8276, 1944-8007},
  url      = {https://onlinelibrary.wiley.com/doi/10.1002/2016GL071670},
  doi      = {10.1002/2016GL071670},
  language = {en},
  number   = {24},
  urldate  = {2022-02-23},
  journal  = {Geophysical Research Letters},
  author   = {Schwenk, Jon and Foufoula‐Georgiou, Efi},
  month    = dec,
  year     = {2016},
  file     = {Full Text:C\:\\Users\\318596\\Zotero\\storage\\9Y7S2Z8U\\Schwenk and Foufoula‐Georgiou - 2016 - Meander cutoffs nonlocally accelerate upstream and.pdf:application/pdf}
}

@misc{ciesin_gridded_2017,
  title      = {Gridded {Population} of the {World}, {Version} 4 ({GPWv4}): {Population} {Density}, {Revision} 11},
  copyright  = {This work is licensed under the Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0). Users are free to use, copy, distribute, transmit, and adapt the work for commercial and non-commercial purposes, without restriction, as long as clear attribution of the source is provided.},
  shorttitle = {Gridded {Population} of the {World}, {Version} 4 ({GPWv4})},
  url        = {https://sedac.ciesin.columbia.edu/data/set/gpw-v4-population-density-rev11},
  abstract   = {The Gridded Population of the World, Version 4 (GPWv4): Population Density, Revision 11 consists of estimates of human population density (number of persons per square kilometer) based on counts consistent with national censuses and population registers, for the years 2000, 2005, 2010, 2015, and 2020. A proportional allocation gridding algorithm, utilizing approximately 13.5 million national and sub-national administrative units, was used to assign population counts to 30 arc-second grid cells. The population density rasters were created by dividing the population count raster for a given target year by the land area raster. The data files were produced as global rasters at 30 arc-second ({\textasciitilde}1 km at the equator) resolution. To enable faster global processing, and in support of research communities, the 30 arc-second count data were aggregated to 2.5 arc-minute, 15 arc-minute, 30 arc-minute and 1 degree resolutions to produce density rasters at these resolutions.},
  urldate    = {2022-02-26},
  publisher  = {Palisades, NY:  Socioeconomic Data and Applications Center (SEDAC)},
  author     = {CIESIN},
  year       = {2017},
  doi        = {10.7927/H49C6VHW},
  note       = {Type: dataset},
  keywords   = {population}
}

@misc{didankamel_mod13a2_2015,
  title     = {{MOD13A2} {MODIS}/{Terra} {Vegetation} {Indices} 16-{Day} {L3} {Global} 1km {SIN} {Grid} {V006}},
  url       = {https://lpdaac.usgs.gov/products/mod13a2v006/},
  urldate   = {2022-02-26},
  publisher = {NASA EOSDIS Land Processes DAAC},
  author    = {Didan,  Kamel},
  year      = {2015},
  doi       = {10.5067/MODIS/MOD13A2.006},
  note      = {Type: dataset}
}

@article{amatulli_geomorpho90m_2020,
  title     = {Geomorpho90m, empirical evaluation and accuracy assessment of global high-resolution geomorphometric layers},
  volume    = {7},
  copyright = {2020 The Author(s)},
  issn      = {2052-4463},
  url       = {https://www.nature.com/articles/s41597-020-0479-6},
  doi       = {10.1038/s41597-020-0479-6},
  abstract  = {Topographical relief comprises the vertical and horizontal variations of the Earth’s terrain and drives processes in geomorphology, biogeography, climatology, hydrology and ecology. Its characterisation and assessment, through geomorphometry and feature extraction, is fundamental to numerous environmental modelling and simulation analyses. We, therefore, developed the Geomorpho90m global dataset comprising of different geomorphometric features derived from the MERIT-Digital Elevation Model (DEM) - the best global, high-resolution DEM available. The fully-standardised 26 geomorphometric variables consist of layers that describe the (i) rate of change across the elevation gradient, using first and second derivatives, (ii) ruggedness, and (iii) geomorphological forms. The Geomorpho90m variables are available at 3 ({\textasciitilde}90 m) and 7.5 arc-second ({\textasciitilde}250 m) resolutions under the WGS84 geodetic datum, and 100 m spatial resolution under the Equi7 projection. They are useful for modelling applications in fields such as geomorphology, geology, hydrology, ecology and biogeography.},
  language  = {en},
  number    = {1},
  urldate   = {2022-02-26},
  journal   = {Scientific Data},
  author    = {Amatulli, Giuseppe and McInerney, Daniel and Sethi, Tushar and Strobl, Peter and Domisch, Sami},
  month     = may,
  year      = {2020},
  note      = {Number: 1
               Publisher: Nature Publishing Group},
  keywords  = {Geomorphology, Hydrogeology},
  pages     = {162},
  file      = {Full Text PDF:C\:\\Users\\318596\\Zotero\\storage\\VRYYK928\\Amatulli et al. - 2020 - Geomorpho90m, empirical evaluation and accuracy as.pdf:application/pdf;Snapshot:C\:\\Users\\318596\\Zotero\\storage\\B6VPEIEC\\s41597-020-0479-6.html:text/html}
}

@misc{nasa_gpm_gpm_2019,
  title     = {{GPM} {IMERG} {Final} {Precipitation} {L3} {Half} {Hourly} 0.1 degree x 0.1 degree {V06}},
  url       = {https://disc.gsfc.nasa.gov/datacollection/GPM_3IMERGHH_06.html},
  urldate   = {2022-02-26},
  publisher = {NASA Goddard Earth Sciences Data and Information Services Center},
  author    = {NASA GPM},
  year      = {2019},
  doi       = {10.5067/GPM/IMERG/3B-HH/06},
  note      = {Type: dataset}
}

@misc{oneill_smap_2018,
  title     = {{SMAP} {L3} {Radiometer} {Global} {Daily} 36 km {EASE}-{Grid} {Soil} {Moisture}, {Version} 5},
  url       = {https://nsidc.org/data/SPL3SMP/versions/5},
  urldate   = {2022-02-26},
  publisher = {NASA National Snow and Ice Data Center DAAC},
  author    = {ONeill, Peggy E. and Chan, Steven and Njoku, Eni G. and Jackson, Tom and Bindlish, Rajat},
  year      = {2018},
  doi       = {10.5067/ZX7YX2Y2LHEB},
  note      = {Type: dataset}
}

@techreport{copernicus_climate_change_service_era5_2017,
  title  = {{ERA5}: {Fifth} generation of {ECMWF} atmospheric reanalyses of the global climate . {Copernicus} {Climate} {Change} {Service} {Climate} {Data} {Store} ({CDS})},
  url    = {https://cds.climate.copernicus.eu/cdsapp#!/home},
  author = {Copernicus},
  year   = {2017}
}