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Drop archived packages #160

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43 changes: 0 additions & 43 deletions Hydrology.md
Original file line number Diff line number Diff line change
Expand Up @@ -248,13 +248,6 @@ the maintainer of that package.
particular South Australia ([https://water.data.sa.gov.au](https://water.data.sa.gov.au)
hydrological data).

- `r pkg("openSTARS")`: An open source implementation of the 'STARS'
toolbox (Peterson & Ver Hoef, 2014, [doi:10.18637/jss.v056.i02](doi:10.18637/jss.v056.i02))
using 'R' and 'GRASS GIS'. It prepares the *.ssn object needed
for the 'SSN' package. A Digital Elevation Model (DEM) is used to
derive stream networks (in contrast to 'STARS' that can clean an
existing stream network).

- `r pkg("waterquality")`: The main purpose of waterquality is to
quickly and easily convert satellite-based reflectance imagery
into one or many well-known water quality algorithms designed for
Expand Down Expand Up @@ -347,11 +340,6 @@ the maintainer of that package.
indices for daily time series data that are widely used in hydrology
and stream ecology.

- `r pkg("hydroTSM", priority = "core")`: Functions for
management, analysis, interpolation and plotting of time series used
in hydrology and related environmental sciences. In particular, this
package is highly oriented to hydrological modelling tasks.

- `r pkg("lfstat")`: Functions to compute and plot
statistics described in the "Manual on Low-flow Estimation and
Prediction", published by the World Meteorological Organisation
Expand Down Expand Up @@ -706,12 +694,6 @@ packages for Hydrology modelling.
Assessment and Development -
[website](http://hydromad.catchment.org). GitHub only package.

- `r pkg("hydroPSO")`: Particle Swarm Optimisation (PSO)
algorithm for the calibration of environmental and other real-world
models that need to be executed from the system console. hydroPSO is
model-independent, allowing the user to easily interface any
computer simulation model with the PSO calibration engine.

- `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
Expand Down Expand Up @@ -805,21 +787,6 @@ packages for Hydrology modelling.
simulation and analysis of primary water resources features
(e.g., reservoirs, aquifers, and etc.) based on Standard Operating
Policy (SOP).

- `r pkg("DWBmodelUN")`: A tool to hydrologic modelling using the
Budyko framework and the Dynamic Water Balance model with
Dynamical Dimension Search algorithm to calibrate the model and
analyze the outputs from interactive graphics. It allows to
calculate the water availability in basins and also some water
fluxes represented by the structure of the model. See Zhang, L.,
N., Potter, K., Hickel, Y., Zhang, Q., Shao (2008)
[doi:10.1016/j.jhydrol.2008.07.021](doi:10.1016/j.jhydrol.2008.07.021) "Water
balance modeling over variable time scales based on the Budyko
framework - Model development and testing", Journal of Hydrology,
360, 117–131. See Tolson, B., C., Shoemaker (2007)
[doi:10.1029/2005WR004723](doi:10.1029/2005WR004723) "Dynamically
dimensioned search algorithm for computationally efficient
watershed model calibration", Water Resources Research, 43, 1–16.

- `r pkg("dynatop")`: An R implementation and enhancement of the
Dynamic TOPMODEL semi-distributed hydrological model originally
Expand Down Expand Up @@ -865,10 +832,6 @@ packages for Hydrology modelling.
streamflow following de Lavenne et al. (2016)
[doi:10.1002/2016WR018716](doi:10.1002/2016WR018716).

- `r pkg("smnet")`: Fits flexible additive models to data on stream
networks, taking account of flow-connectivity of the network.
Models are fitted using penalised least squares.

- `r github("cvitolo/curvenumber")`: This package is an
implementation of the Curve Number, a well established method for
the estimation of direct runoff from storm rainfall.
Expand Down Expand Up @@ -926,12 +889,6 @@ with extreme values are discussed in the
[cvitolo.github.io/fuse/](https://cvitolo.github.io/fuse/). GitHub
only package.

- `r pkg("hydroGOF", priority = "core")`: S3 functions
implementing both statistical and graphical goodness-of-fit measures
between observed and simulated values, mainly oriented to be used
during the calibration, validation, and application of hydrological
models.

- `r pkg("HydroMe")`: Estimates the parameters in
infiltration and water retention models by curve-fitting method. The
models considered are those that are commonly used in soil science.
Expand Down