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@@ -3,7 +3,7 @@ name: Hydrology | |
topic: Hydrological Data and Modeling | ||
maintainer: Sam Albers, Ilaria Prosdocimi | ||
email: [email protected] | ||
version: 2023-05-28 | ||
version: 2024-03-08 | ||
source: https://github.com/cran-task-views/Hydrology/ | ||
--- | ||
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@@ -70,6 +70,9 @@ the maintainer of that package. | |
- `r pkg("FedData")`: Functions to Automate Downloading | ||
Geospatial Data Available from Several Federated Data Sources. | ||
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- `r pkg("hubeau")`: Get Data from the French National Database on Water [`Hub'Eau`](https://hubeau.eaufrance.fr/), | ||
the free and public French National APIs on water. | ||
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- `r pkg("isoWater")`: R interface to the | ||
[Waterisotopes Database](http://waterisotopesDB.org). Provides | ||
functions to query and obtain stable H and O isotope data from water | ||
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@@ -182,16 +185,6 @@ the maintainer of that package. | |
II](http://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanalysis2.html) | ||
datasets. | ||
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- `r pkg("rnoaa")`: Client for many NOAA data sources | ||
including the [NCDC climate | ||
API](https://www.ncdc.noaa.gov/cdo-web/webservices/v2), with | ||
functions for each of the API endpoints: data, data categories, data | ||
sets, data types, locations, location categories, and stations. | ||
Includes interface NOAA sea ice data, severe weather inventory, | ||
Historical Observing Metadata Repository ('HOMR'), storm data via | ||
'IBTrACS', tornado data via the NOAA storm prediction center, and | ||
more. | ||
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- `r pkg("rpdo")`: Get Monthly Pacific Decadal Oscillation | ||
(PDO) index values from January 1900 to present. See also | ||
`r pkg("rsoi")` for downloading Southern Oscillation | ||
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@@ -206,7 +199,7 @@ the maintainer of that package. | |
imagery, weather alerts, hurricane alerts and historical high/low | ||
temperatures. | ||
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- `r pkg("smapr")`: Acquisition and Processing of NASA | ||
- `r github("ropensci/smapr")`: Acquisition and Processing of NASA | ||
Soil Moisture Active-Passive (SMAP) Data. Facilitates programmatic | ||
access to search for, acquire, and extract NASA Soil Moisture Active | ||
Passive (SMAP) data. | ||
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@@ -485,7 +478,7 @@ the maintainer of that package. | |
manipulation and calculations for Maryland DNR MBSS program. GitHub | ||
only package. | ||
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- `r pkg("MODIStsp")`: Suite of tools to automate the | ||
- `r github("ropensci/MODIStsp/")`: Suite of tools to automate the | ||
Download and Preprocessing of MODIS Land Products Data. Allows | ||
automating the creation of time series of rasters derived from MODIS | ||
Satellite Land Products data. It performs several typical | ||
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@@ -581,7 +574,7 @@ See also the rOpenSci [MapTools listing](https://github.com/ropensci/maptools). | |
bootstrap envelope. Tools are also provided for editing the river | ||
networks, meaning there is no reliance on external software. | ||
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- `r github("lucarraro/rivnet")`: rivnet presents a simple user interface to | ||
- `r pkg("rivnet")`: rivnet presents a simple user interface to | ||
extract and analyze river networks based on digital elevation | ||
models. Extraction of river networks is performed via TauDEM’s | ||
D8 flow direction algorithm. A key feature of the rivnet package | ||
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@@ -646,6 +639,12 @@ packages for Hydrology modelling. | |
semi-distributed way. A snow accumulation and melt model (CemaNeige) | ||
and the associated functions for their calibration and evaluation. | ||
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- `r pkg("airGRdatasets")`: Hydro-Meteorological Catchments Datasets for the | ||
*airGR* Packages. Sample of hydro-meteorological datasets extracted from the | ||
*CAMELS-FR* [French database](https://hal.inrae.fr/hal-03687235). It provides | ||
metadata and catchment-scale aggregated hydro-meteorological time series on | ||
a pool of French catchments for use by the *airGR* packages. | ||
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- `r pkg("airGRdatassim")`: Add-on to the 'airGR' package | ||
which provides the tools to assimilate observed discharges in daily | ||
GR hydrological models using the Ensemble Kalman filter or the | ||
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@@ -690,31 +689,28 @@ packages for Hydrology modelling. | |
(soil moisture, evapotranspiration, leakage and runoff), rainfall | ||
series by using the marked Poisson process and the vegetation growth | ||
through the normalized difference vegetation index (NDVI). See | ||
[Souza et al. (2016)](http://doi.org/10.1002/hyp.10953). | ||
[Souza et al. (2016)](https://doi.org/10.1002/hyp.10953). | ||
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- `r pkg("geotopbricks")`: An R Plug-in for the | ||
Distributed Hydrological Model | ||
[GEOtop](www.geotop.org). The package analyzes | ||
raster maps and other information as input/output files from the | ||
Hydrological Distributed Model GEOtop. | ||
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- `r pkg("gumboot")`: Bootstrap Analyses of Sampling Uncertainty in Goodness-of-Fit Statistics. | ||
Uses jackknife and bootstrap methods to quantify the sampling uncertainty in goodness-of-fit statistics. | ||
See [Clark et al. (2021)](https://doi.org/10.1029/2020WR029001). | ||
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- `r github("floybix/hydromad")`: Hydrological Model | ||
Assessment and Development - | ||
[website](http://hydromad.catchment.org). GitHub only package. | ||
[website](https://hydromad.catchment.org). GitHub only package. | ||
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- `r pkg("HBV.IANIGLA")`: This package contains the HBV | ||
hydrological model but in modules, allowing the user to build | ||
his/her own HBV model. HBV.IANIGLA incorporates routines for clean | ||
and debris covered glacier melt simulations. See [Toum et | ||
al. 2021](https://journal.r-project.org/archive/2021/RJ-2021-059/index.html) | ||
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- `r pkg("kwb.hantush")`: Calculation groundwater mounding | ||
beneath an infiltration basin based on the | ||
[Hantush (1967)](http://doi.org/10.1029/WR003i001p00227) equation. | ||
The correct implementation is shown with a verification example | ||
based on a USGS report ( [page | ||
25](http://pubs.usgs.gov/sir/2010/5102/support/sir2010-5102.pdf)). | ||
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- `r pkg("LWFBrook90R")`: Simulate Evapotranspiration and | ||
Soil Moisture with the SVAT Model LWF-Brook90. See paper | ||
[Schmidt-Walter et | ||
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@@ -748,14 +744,6 @@ packages for Hydrology modelling. | |
construction, simulation, visualization, and calibration of | ||
hydrologic systems. | ||
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- `r pkg("RSAlgaeR")`: Builds Empirical Remote Sensing | ||
Models of Water Quality Variables and Analyzes Long-Term Trends. | ||
Assists in processing reflectance data, developing empirical models | ||
using stepwise regression and a generalized linear modeling | ||
approach, cross- validation, and analysis of trends in water quality | ||
conditions (specifically chl-a) and climate conditions using the | ||
Theil-Sen estimator. | ||
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- `r pkg("streamDepletr")`: Analytical depletion functions | ||
used to calculate the impacts of groundwater pumping on one or more | ||
streams. | ||
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@@ -767,12 +755,6 @@ packages for Hydrology modelling. | |
handles data gaps during modeling, and provides tabular and | ||
graphical reports of model outputs. GitHub only package. | ||
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- `r pkg("telemac")`: An R interface to the TELEMAC suite | ||
for modelling of free surface flow. This includes methods for model | ||
initialisation, simulation, and visualisation. So far only the | ||
TELEMAC-2D module for 2-dimensional hydrodynamic modelling is | ||
implemented. | ||
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- `r pkg("topmodel")`: Set of hydrological functions | ||
including the hydrological model TOPMODEL, which is based on the | ||
1995 FORTRAN version by Keith Beven. From version 0.7.0, the package | ||
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@@ -887,6 +869,13 @@ ecological sciences. Additionally, packages that help model datasets | |
with extreme values are discussed in the | ||
`r view("ExtremeValue")` task view. | ||
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- `r pkg("BLRPM")`: Stochastic Rainfall Generator with Bartlett-Lewis | ||
Rectangular Pulse Model. This package contains an R implementation of | ||
the original Bartlett-Lewis rectangular pulse model (BLRPM), developed by | ||
[Rodriguez-Iturbe et al. (1987)](https://doi.org/10.1098/rspa.1987.0039). | ||
The package can simulate a precipitation time series based given parameters or | ||
it can estimate BLRPM parameters from a given time series. | ||
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- `r pkg("CoSMoS")`: is an implementation of [Papalexiou | ||
2018](https://doi.org/10.1016/j.advwatres.2018.02.013). CoSMoS | ||
generates univariate/multivariate non-Gaussian time series and | ||
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@@ -942,11 +931,22 @@ with extreme values are discussed in the | |
- `r pkg("meteo")`: Spatio-temporal geostatistical mapping | ||
of meteorological data. | ||
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- `r pkg("lmomco")`: Extensive functions for Lmoments (LMs) and probability-weighted moments (PWMs), distribution parameter estimation, LMs for distributions, LM ratio diagrams, multivariate Lcomoments, and asymmetric (asy) trimmed LMs (TLMs). | ||
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- `r pkg("lmom")`: Functions related to L-moments: computation of L-moments and trimmed L-moments of distributions and data samples; parameter estimation; L-moment ratio diagram; plot vs. quantiles of an extreme-value distribution. | ||
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- `r pkg("lmomRFA")`: Functions for regional frequency analysis using the methods of Hosking and Wallis (1997), Regional frequency analysis: an approach based on L-moments. | ||
- `r pkg("lmomco")`: Extensive functions for Lmoments (LMs) and | ||
probability-weighted moments (PWMs), distribution parameter estimation, | ||
LMs for distributions, LM ratio diagrams, multivariate Lcomoments, | ||
and asymmetric (asy) trimmed LMs (TLMs). | ||
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- `r pkg("lmom")`: Functions related to L-moments: computation of L-moments | ||
and trimmed L-moments of distributions and data samples; parameter estimation; | ||
L-moment ratio diagram; plot vs. quantiles of an extreme-value distribution. | ||
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- `r pkg("lmomRFA")`: Functions for regional frequency analysis using | ||
the methods of Hosking and Wallis (1997), Regional frequency analysis: | ||
an approach based on L-moments. | ||
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- `r pkg("nsRFA")`: A collection of statistical tools for | ||
objective (non-supervised) applications of the Regional Frequency | ||
Analysis methods in hydrology. | ||
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- `r pkg("RMAWGEN")`: Functions for spatial multi-site | ||
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