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cran

Evapotranspiration:Modelling Actual, Potential and Reference Crop Evapotranspiration

Uses data and constants to calculate potential evapotranspiration (PET) and actual evapotranspiration (AET) from 21 different formulations including Penman, Penman-Monteith FAO 56, Priestley-Taylor and Morton formulations.

Maintained by Danlu Guo. Last updated 3 years ago.

66.0 match 10 stars 2.38 score

akbarr1184

evapoRe:Evapotranspiration R Recipes

An R-based application for exploratory data analysis of global EvapoTranspiration (ET) datasets. 'evapoRe' enables users to download, validate, visualize, and analyze multi-source ET data across various spatio-temporal scales. Also, the package offers calculation methods for estimating potential ET (PET), including temperature-based approaches described in : Oudin et al., (2005) <doi:10.1016/j.jhydrol.2004.08.026>. 'evapoRe' supports hydrological modeling, climate studies, agricultural research, and other data-driven fields by facilitating access to ET data and offering powerful analysis capabilities. Users can seamlessly integrate the package into their research applications and explore diverse ET data at different resolutions.

Maintained by Akbar Rahmati Ziveh. Last updated 1 months ago.

31.1 match 1 stars 4.60 score 5 scripts

cesarofs

agriwater:Evapotranspiration and Energy Fluxes Spatial Analysis

Spatial modeling of energy balance and actual evapotranspiration using satellite images and meteorological data. Options of satellite are: Landsat-8 (with and without thermal bands), Sentinel-2 and MODIS. Respectively spatial resolutions are 30, 100, 10 and 250 meters. User can use data from a single meteorological station or a grid of meteorological stations (using any spatial interpolation method). Silva, Teixeira, and Manzione (2019) <doi:10.1016/j.envsoft.2019.104497>.

Maintained by Cesar de Oliveira Ferreira Silva. Last updated 2 years ago.

20.2 match 9 stars 5.05 score 25 scripts

pschmidtwalter

LWFBrook90R:Simulate Evapotranspiration and Soil Moisture with the SVAT Model LWF-Brook90

Provides a flexible and easy-to use interface for the soil vegetation atmosphere transport (SVAT) model LWF-BROOK90, written in Fortran. The model simulates daily transpiration, interception, soil and snow evaporation, streamflow and soil water fluxes through a soil profile covered with vegetation, as described in Hammel & Kennel (2001, ISBN:978-3-933506-16-0) and Federer et al. (2003) <doi:10.1175/1525-7541(2003)004%3C1276:SOAETS%3E2.0.CO;2>. A set of high-level functions for model set up, execution and parallelization provides easy access to plot-level SVAT simulations, as well as multi-run and large-scale applications.

Maintained by Paul Schmidt-Walter. Last updated 5 months ago.

evapotranspirationmodelingwaterbalancewaterfluxfortran

12.8 match 11 stars 6.38 score 27 scripts

juergenknauer

bigleaf:Physical and Physiological Ecosystem Properties from Eddy Covariance Data

Calculation of physical (e.g. aerodynamic conductance, surface temperature), and physiological (e.g. canopy conductance, water-use efficiency) ecosystem properties from eddy covariance data and accompanying meteorological measurements. Calculations assume the land surface to behave like a 'big-leaf' and return bulk ecosystem/canopy variables.

Maintained by Juergen Knauer. Last updated 8 months ago.

9.8 match 7.23 score 124 scripts 17 dependents

sbegueria

SPEI:Calculation of the Standardized Precipitation-Evapotranspiration Index

A set of functions for computing potential evapotranspiration and several widely used drought indices including the Standardized Precipitation-Evapotranspiration Index (SPEI).

Maintained by Santiago Beguería. Last updated 2 years ago.

7.4 match 82 stars 9.27 score 314 scripts 20 dependents

gabrielblain

CropWaterBalance:Climate Water Balance for Irrigation Purposes

Calculates daily climate water balance for irrigation purposes and also calculates the reference evapotranspiration (ET) using three methods, Penman and Monteith (Allen et al. 1998, ISBN:92-5-104219-5); Priestley and Taylor (1972) <doi:10/cr3qwn>; or Hargreaves and Samani (1985) <doi:10.13031/2013.26773>. Users may specify a management allowed depletion (MAD), which is used to suggest when to irrigate. The functionality allows for the use of crop and water stress coefficients as well.

Maintained by Gabriel Constantino Blain. Last updated 8 months ago.

6.9 match 7 stars 5.54 score 3 scripts

aphalo

photobiologyPlants:Plant Photobiology Related Functions and Data

Provides functions for quantifying visible (VIS) and ultraviolet (UV) radiation in relation to the photoreceptors Phytochromes, Cryptochromes, and UVR8 which are present in plants. It also includes data sets on the optical properties of plants. Part of the 'r4photobiology' suite, Aphalo P. J. (2015) <doi:10.19232/uv4pb.2015.1.14>.

Maintained by Pedro J. Aphalo. Last updated 2 months ago.

4.5 match 5.52 score 55 scripts

chawezimiti

BLA:Boundary Line Analysis

Fits boundary line models to datasets as proposed by Webb (1972) <doi:10.1080/00221589.1972.11514472> and makes statistical inferences about their parameters. Provides additional tools for testing datasets for evidence of boundary presence and selecting initial starting values for model optimization prior to fitting the boundary line models. It also includes tools for conducting post-hoc analyses such as predicting boundary values and identifying the most limiting factor (Miti, Milne, Giller, Lark (2024) <doi:10.1016/j.fcr.2024.109365>). This ensures a comprehensive analysis for datasets that exhibit upper boundary structures.

Maintained by Chawezi Miti. Last updated 4 months ago.

4.5 match 1 stars 5.26 score 11 scripts

robeltakele

AquaBEHER:Estimation and Prediction of Wet Season Calendar and Soil Water Balance for Agriculture

Computes and integrates daily potential evapotranspiration (PET) and a soil water balance model. It allows users to estimate and predict the wet season calendar, including onset, cessation, and duration, based on an agroclimatic approach for a specified period. This functionality helps in managing agricultural water resources more effectively. For detailed methodologies, users can refer to Allen et al. (1998, ISBN:92-5-104219-5); Allen (2005, ISBN:9780784408056); Doorenbos and Pruitt (1975, ISBN:9251002797); Guo et al. (2016) <doi:10.1016/j.envsoft.2015.12.019>; Hargreaves and Samani (1985) <doi:10.13031/2013.26773>; Priestley and Taylor (1972) <https://journals.ametsoc.org/view/journals/apme/18/7/1520-0450_1979_018_0898_tptema_2_0_co_2.xml>.

Maintained by Robel Takele. Last updated 16 days ago.

growing-seasonseasonal-calendarsoil-moisturesoil-water-balance

4.1 match 10 stars 5.78 score 6 scripts

roelandkindt

BiodiversityR:Package for Community Ecology and Suitability Analysis

Graphical User Interface (via the R-Commander) and utility functions (often based on the vegan package) for statistical analysis of biodiversity and ecological communities, including species accumulation curves, diversity indices, Renyi profiles, GLMs for analysis of species abundance and presence-absence, distance matrices, Mantel tests, and cluster, constrained and unconstrained ordination analysis. A book on biodiversity and community ecology analysis is available for free download from the website. In 2012, methods for (ensemble) suitability modelling and mapping were expanded in the package.

Maintained by Roeland Kindt. Last updated 2 months ago.

3.2 match 16 stars 7.42 score 390 scripts 2 dependents

aahani-r

FAO56:Evapotranspiration Based on FAO Penman-Monteith Equation

Calculation of Evapotranspiration by FAO Penman-Monteith equation based on Allen, R. G., Pereira, L. S., Raes, D., Smith, M. (1998, ISBN:92-5-104219-5) "Crop evapotranspiration - Guidelines for computing crop water requirements - FAO Irrigation and drainage paper 56".

Maintained by Ali Ahani. Last updated 1 years ago.

13.6 match 1.70 score 2 scripts

cran

CSIndicators:Climate Services' Indicators Based on Sub-Seasonal to Decadal Predictions

Set of generalised tools for the flexible computation of climate related indicators defined by the user. Each method represents a specific mathematical approach which is combined with the possibility to select an arbitrary time period to define the indicator. This enables a wide range of possibilities to tailor the most suitable indicator for each particular climate service application (agriculture, food security, energy, water management, ...). This package is intended for sub-seasonal, seasonal and decadal climate predictions, but its methods are also applicable to other time-scales, provided the dimensional structure of the input is maintained. Additionally, the outputs of the functions in this package are compatible with 'CSTools'. This package is described in 'Pérez-Zanón et al. (2023) <doi:10.1016/j.cliser.2023.100393>' and it was developed in the context of 'H2020 MED-GOLD' (776467) and 'S2S4E' (776787) projects. See 'Lledó et al. (2019) <doi:10.1016/j.renene.2019.04.135>' and 'Chou et al., 2023 <doi:10.1016/j.cliser.2023.100345>' for details.

Maintained by Victòria Agudetse. Last updated 1 years ago.

7.6 match 3.00 score 6 scripts

r-forge

sirad:Functions for Calculating Daily Solar Radiation and Evapotranspiration

Calculating daily global solar radiation at horizontal surface using several well-known models (i.e. Angstrom-Prescott, Supit-Van Kappel, Hargreaves, Bristow and Campbell, and Mahmood-Hubbard), and model calibration based on ground-truth data, and (3) model auto-calibration. The FAO Penmann-Monteith equation to calculate evapotranspiration is also included.

Maintained by Jedrzej S. Bojanowski. Last updated 8 years ago.

7.0 match 3.18 score 64 scripts

filgueirasr

cropDemand:Spatial Crop Water Demand for Brazil

Estimation of crop water demand can be processed via this package. As example, the data from 'TerraClimate' dataset (<https://www.climatologylab.org/terraclimate.html>) calibrated with automatic weather stations of National Meteorological Institute of Brazil is available in a coarse spatial resolution to do the crop water demand. However, the user have also the option to download the variables directly from 'TerraClimate' repository with the download.terraclimate function and access the original 'TerraClimate' products. If the user believes that is necessary calibrate the variables, there is another function to do it. Lastly, the estimation of the crop water demand present in this package can be run for all the Brazilian territory with 'TerraClimate' dataset.

Maintained by Roberto Filgueiras. Last updated 30 days ago.

5.2 match 4 stars 3.90 score 1 scripts

agrdatasci

climatrends:Climate Variability Indices for Ecological Modelling

Supports analysis of trends in climate change, ecological and crop modelling.

Maintained by Kauê de Sousa. Last updated 11 months ago.

climate-dataclimatologytimeseries-analysis

3.8 match 5 stars 5.18 score 8 scripts

ezetoum

HBV.IANIGLA:Modular Hydrological Model

The HBV hydrological model (Bergström, S. and Lindström, G., (2015) <doi:10.1002/hyp.10510>) has been split in modules to allow the user to build his/her own model. This version was developed by the author in IANIGLA-CONICET (Instituto Argentino de Nivologia, Glaciologia y Ciencias Ambientales - Consejo Nacional de Investigaciones Cientificas y Tecnicas) for hydroclimatic studies in the Andes. HBV.IANIGLA incorporates routines for clean and debris covered glacier melt simulations.

Maintained by Ezequiel Toum. Last updated 2 years ago.

cpp

4.0 match 4.56 score 12 scripts

emf-creaf

meteoland:Landscape Meteorology Tools

Functions to estimate weather variables at any position of a landscape [De Caceres et al. (2018) <doi:10.1016/j.envsoft.2018.08.003>].

Maintained by Miquel De Cáceres. Last updated 2 months ago.

cpp

2.3 match 10 stars 7.95 score 92 scripts 2 dependents

ms609

Ternary:Create Ternary and Holdridge Plots

Plots ternary diagrams (simplex plots / Gibbs triangles) and Holdridge life zone plots <doi:10.1126/science.105.2727.367> using the standard graphics functions. Allows custom annotation, interpolating, contouring and scaling of plotting region. Includes a 'Shiny' user interface for point-and-click ternary plotting. An alternative to 'ggtern', which uses the 'ggplot2' family of plotting functions.

Maintained by Martin R. Smith. Last updated 5 months ago.

graphicsplottingplotting-in-rternary-plots

1.7 match 33 stars 9.58 score 103 scripts 5 dependents

liumiguo

simET:Tools for Simulation of Evapotranspiration of Field Crops and Soil Water Balance

Supports the calculation of meteorological characteristics in evapotranspiration research and reference crop evapotranspiration, and offers three models to simulate crop evapotranspiration and soil water balance in the field, including single crop coefficient and dual crop coefficient, as well as the Shuttleworth-Wallace model. These calculations main refer to Allen et al.(1998, ISBN:92-5-104219-5), Teh (2006, ISBN:1-58-112-998-X), and Liu et al.(2006) <doi:10.1016/j.agwat.2006.01.018>.

Maintained by Minguo Liu. Last updated 2 years ago.

14.1 match 1.00 score 9 scripts

gabrielblain

PowerSDI:Calculate Standardised Drought Indices Using NASA POWER Data

A set of functions designed to calculate the standardised precipitation and standardised precipitation evapotranspiration indices using NASA POWER data as described in Blain et al. (2023) <doi:10.2139/ssrn.4442843>. These indices are calculated using a reference data source. The functions verify if the indices' estimates meet the assumption of normality and how well NASA POWER estimates represent real-world data. Indices are calculated in a routine mode. Potential evapotranspiration amounts and the difference between rainfall and potential evapotranspiration are also calculated. The functions adopt a basic time scale that splits each month into four periods. Days 1 to 7, days 8 to 14, days 15 to 21, and days 22 to 28, 29, 30, or 31, where 'TS=4' corresponds to a 1-month length moving window (calculated 4 times per month) and 'TS=48' corresponds to a 12-month length moving window (calculated 4 times per month).

Maintained by Gabriel Constantino Blain. Last updated 8 months ago.

2.7 match 4 stars 5.08 score 1 scripts 1 dependents

earthyscience

REddyProc:Post Processing of (Half-)Hourly Eddy-Covariance Measurements

Standard and extensible Eddy-Covariance data post-processing (Wutzler et al. (2018) <doi:10.5194/bg-15-5015-2018>) includes uStar-filtering, gap-filling, and flux-partitioning. The Eddy-Covariance (EC) micrometeorological technique quantifies continuous exchange fluxes of gases, energy, and momentum between an ecosystem and the atmosphere. It is important for understanding ecosystem dynamics and upscaling exchange fluxes. (Aubinet et al. (2012) <doi:10.1007/978-94-007-2351-1>). This package inputs pre-processed (half-)hourly data and supports further processing. First, a quality-check and filtering is performed based on the relationship between measured flux and friction velocity (uStar) to discard biased data (Papale et al. (2006) <doi:10.5194/bg-3-571-2006>). Second, gaps in the data are filled based on information from environmental conditions (Reichstein et al. (2005) <doi:10.1111/j.1365-2486.2005.001002.x>). Third, the net flux of carbon dioxide is partitioned into its gross fluxes in and out of the ecosystem by night-time based and day-time based approaches (Lasslop et al. (2010) <doi:10.1111/j.1365-2486.2009.02041.x>).

Maintained by Thomas Wutzler. Last updated 4 months ago.

cpp

1.2 match 63 stars 11.22 score 163 scripts 16 dependents

ropensci

chirps:API Client for CHIRPS and CHIRTS

API Client for the Climate Hazards Center 'CHIRPS' and 'CHIRTS'. The 'CHIRPS' data is a quasi-global (50°S – 50°N) high-resolution (0.05 arc-degrees) rainfall data set, which incorporates satellite imagery and in-situ station data to create gridded rainfall time series for trend analysis and seasonal drought monitoring. 'CHIRTS' is a quasi-global (60°S – 70°N), high-resolution data set of daily maximum and minimum temperatures. For more details on 'CHIRPS' and 'CHIRTS' data please visit its official home page <https://www.chc.ucsb.edu/data>.

Maintained by Kauê de Sousa. Last updated 2 months ago.

chirpsclimatologyprecipitation-data

2.0 match 31 stars 6.72 score 28 scripts

filgueirasr

BrazilMet:Download and Processing of Automatic Weather Stations (AWS) Data of INMET-Brazil

A compilation of functions to download and processing AWS data of INMET-Brazil, with the purpose of reference evapotranspiration (ETo) estimation. The package aims to make meteorological and agricultural data analysis more parsimonious.

Maintained by Roberto Filgueiras. Last updated 6 days ago.

2.5 match 11 stars 4.44 score 4 scripts

wagnnerms97

DataMetProcess:Meteorological Data Processing

Set of tools aimed at processing meteorological data, converting hourly recorded data to daily, monthly and annual data.

Maintained by Wagner Martins dos Santos. Last updated 19 days ago.

3.0 match 3.60 score 6 scripts

cran

airGR:Suite of GR Hydrological Models for Precipitation-Runoff Modelling

Hydrological modelling tools developed at INRAE-Antony (HYCAR Research Unit, France). The package includes several conceptual rainfall-runoff models (GR4H, GR5H, GR4J, GR5J, GR6J, GR2M, GR1A) that can be applied either on a lumped or semi-distributed way. A snow accumulation and melt model (CemaNeige) and the associated functions for the calibration and evaluation of models are also included. Use help(airGR) for package description and references.

Maintained by Olivier Delaigue. Last updated 1 years ago.

fortran

1.7 match 4 stars 6.60 score 164 scripts 4 dependents

carm1r

fruclimadapt:Evaluation Tools for Assessing Climate Adaptation of Fruit Tree Species

Climate is a critical component limiting growing range of plant species, which also determines cultivar adaptation to a region. The evaluation of climate influence on fruit production is critical for decision-making in the design stage of orchards and vineyards and in the evaluation of the potential consequences of future climate. Bio- climatic indices and plant phenology are commonly used to describe the suitability of climate for growing quality fruit and to provide temporal and spatial information about regarding ongoing and future changes. 'fruclimadapt' streamlines the assessment of climate adaptation and the identification of potential risks for grapevines and fruit trees. Procedures in the package allow to i) downscale daily meteorological variables to hourly values (Forster et al (2016) <doi:10.5194/gmd-9-2315-2016>), ii) estimate chilling and forcing heat accumulation (Miranda et al (2019) <https://ec.europa.eu/eip/agriculture/sites/default/files/fg30_mp5_phenology_critical_temperatures.pdf>), iii) estimate plant phenology (Schwartz (2012) <doi:10.1007/978-94-007-6925-0>), iv) calculate bioclimatic indices to evaluate fruit tree and grapevine adaptation (e.g. Badr et al (2017) <doi:10.3354/cr01532>), v) estimate the incidence of weather-related disorders in fruits (e.g. Snyder and de Melo-Abreu (2005, ISBN:92-5-105328-6) and vi) estimate plant water requirements (Allen et al (1998, ISBN:92-5-104219-5)).

Maintained by Carlos Miranda. Last updated 2 years ago.

chill-modelschill-requirementclimate-adaptationclimate-analysisestimatefruitfruit-treesgrapevinehorticulturephenology

3.4 match 3 stars 3.18 score 4 scripts

waternumbers

dynatop:An Implementation of Dynamic TOPMODEL Hydrological Model in R

An R implementation and enhancement of the Dynamic TOPMODEL semi-distributed hydrological model originally proposed by Beven and Freer (2001) <doi:10.1002/hyp.252>. The 'dynatop' package implements code for simulating models which can be created using the 'dynatopGIS' package.

Maintained by Paul Smith. Last updated 4 months ago.

cpp

1.7 match 3 stars 5.08 score 9 scripts

p-chevallier

htsr:Hydro-Meteorology Time-Series

Functions for the management and treatment of hydrology and meteorology time-series stored in a 'Sqlite' data base.

Maintained by Pierre Chevallier. Last updated 7 months ago.

cpp

1.8 match 4.60 score 2 scripts

ycroissant

pder:Panel Data Econometrics with R

Data sets for the Panel Data Econometrics with R <doi:10.1002/9781119504641> book.

Maintained by Yves Croissant. Last updated 3 years ago.

6.0 match 1.36 score 15 scripts

uace-azmet

azmetr:Access Arizona Weather Data from the AZMet API

Provides R functions to access the Arizona Meteorological Network (AZMet) API. Functions are more than just "thin wrappers" and do some parsing of input parameters and wrangling of output data.

Maintained by Jeremy Weiss. Last updated 9 days ago.

1.8 match 1 stars 4.06 score 23 scripts

kwb-r

kwb.rabimo:R Implementation of Water Balance Model Abimo

The code in this package has been transferred from the C++ code of ABIMO 3.3: Water Balance Model for Urban Areas (https://github.com/KWB-R/abimo/).

Maintained by Hauke Sonnenberg. Last updated 1 years ago.

3.6 match 1.70 score 1 scripts

pecanproject

PEcAn.PRELES:PEcAn Package for Integration of the PRELES Model

This module provides functions to run the PREdict Light use efficiency Evapotranspiration and Soil moisture (PRELES) model on the PEcAn project. The Predictive Ecosystem Carbon Analyzer (PEcAn) is a scientific workflow management tool designed to simplify the management of model parameterization,execution, and analysis. The goal of PECAn is to streamline the interaction between data and models, and to improve the efficacy of scientific investigation.

Maintained by Tony Gardella. Last updated 2 days ago.

bayesiancyberinfrastructuredata-assimilationdata-scienceecosystem-modelecosystem-scienceforecastingmeta-analysisnational-science-foundationpecanplants

0.5 match 216 stars 7.56 score 4 scripts

himadriiasri

PMEvapotranspiration:Calculation of the Penman-Monteith Evapotranspiration using Weather Variables

The Food and Agriculture Organization-56 Penman-Monteith is one of the important method for estimating evapotranspiration from vegetated land areas. This package helps to calculate reference evapotranspiration using the weather variables collected from weather station. Evapotranspiration is the process of water transfer from the land surface to the atmosphere through evaporation from soil and other surfaces and transpiration from plants. The package aims to support agricultural, hydrological, and environmental research by offering accurate and accessible reference evapotranspiration calculation. This package has been developed using concept of Córdova et al. (2015)<doi:10.1016/j.apm.2022.09.004> and Debnath et al. (2015) <doi:10.1007/s40710-015-0107-1>.

Maintained by Dr. Himadri Shekhar Roy. Last updated 1 years ago.

3.8 match 1.00 score

rodolfomssouza

Ecohydmod:Ecohydrological Modelling

Simulates the soil water balance (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). Please see Souza et al. (2016) <doi:10.1002/hyp.10953>.

Maintained by Rodolfo Souza. Last updated 8 years ago.

3.5 match 1 stars 1.00 score 6 scripts

kwb-r

kwb.vs2dh:Interface to VS2DH

Interface to the open-source model USGS model VS2DH for simulation of water and energy transport in variable-saturated porous media (for more information see: http://wwwbrr.cr.usgs.gov/projects/GW_Unsat/vs2di1.3/).

Maintained by Michael Rustler. Last updated 6 years ago.

groundwater-modellingproject-demeauusgsvs2dh

1.6 match 2.18 score 1 scripts 1 dependents

ullid

MeTo:Meteorological Tools

Meteorological Tools following the FAO56 irrigation paper of Allen et al. (1998) [1]. Functions for calculating: reference evapotranspiration (ETref), extraterrestrial radiation (Ra), net radiation (Rn), saturation vapor pressure (satVP), global radiation (Rs), soil heat flux (G), daylight hours, and more. [1] Allen, R. G., Pereira, L. S., Raes, D., & Smith, M. (1998). Crop evapotranspiration-Guidelines for computing crop water requirements-FAO Irrigation and drainage paper 56. FAO, Rome, 300(9).

Maintained by Ullrich Dettmann. Last updated 3 years ago.

2.5 match 1.18 score 15 scripts

shulansun

rTRIPLEXCWFlux:Carbon-Water Coupled Model

A carbon-water coupled model (TRIPLEX-CW-Flux) is based on two well-established models: TRIPLEX-Flux model and Penman–Monteith model, and integrates soil moisture and vapor pressure deficits into the stomata conductance submodule to estimate net ecosystem production and evapotranspiration in forest ecosystems.<https://github.com/ShulanSun/rTRIPLEX_CW_Flux>.

Maintained by Shulan Sun. Last updated 2 years ago.

0.5 match 2 stars 4.18 score 15 scripts

climateanalytics

foreSIGHT:Systems Insights from Generation of Hydroclimatic Timeseries

A tool to create hydroclimate scenarios, stress test systems and visualize system performance in scenario-neutral climate change impact assessments. Scenario-neutral approaches 'stress-test' the performance of a modelled system by applying a wide range of plausible hydroclimate conditions (see Brown & Wilby (2012) <doi:10.1029/2012EO410001> and Prudhomme et al. (2010) <doi:10.1016/j.jhydrol.2010.06.043>). These approaches allow the identification of hydroclimatic variables that affect the vulnerability of a system to hydroclimate variation and change. This tool enables the generation of perturbed time series using a range of approaches including simple scaling of observed time series (e.g. Culley et al. (2016) <doi:10.1002/2015WR018253>) and stochastic simulation of perturbed time series via an inverse approach (see Guo et al. (2018) <doi:10.1016/j.jhydrol.2016.03.025>). It incorporates 'Richardson-type' weather generator model configurations documented in Richardson (1981) <doi:10.1029/WR017i001p00182>, Richardson and Wright (1984), as well as latent variable type model configurations documented in Bennett et al. (2018) <doi:10.1016/j.jhydrol.2016.12.043>, Rasmussen (2013) <doi:10.1002/wrcr.20164>, Bennett et al. (2019) <doi:10.5194/hess-23-4783-2019> to generate hydroclimate variables on a daily basis (e.g. precipitation, temperature, potential evapotranspiration) and allows a variety of different hydroclimate variable properties, herein called attributes, to be perturbed. Options are included for the easy integration of existing system models both internally in R and externally for seamless 'stress-testing'. A suite of visualization options for the results of a scenario-neutral analysis (e.g. plotting performance spaces and overlaying climate projection information) are also included. Version 1.0 of this package is described in Bennett et al. (2021) <doi:10.1016/j.envsoft.2021.104999>. As further developments in scenario-neutral approaches occur the tool will be updated to incorporate these advances.

Maintained by David McInerney. Last updated 1 years ago.

cpp

0.5 match 1 stars 3.60 score 20 scripts

cran

bioclim:Bioclimatic Analysis and Classification

Using numeric or raster data, this package contains functions to calculate: complete water balance, bioclimatic balance, bioclimatic intensities, reports for individual locations, multi-layered rasters for spatial analysis.

Maintained by Roberto Serrano-Notivoli. Last updated 1 years ago.

1.8 match 1.00 score

villegar

splash:Simple Process-Led Algorithms for Simulating Habitats

This program calculates bioclimatic indices and fluxes (radiation, evapotranspiration, soil moisture) for use in studies of ecosystem function, species distribution, and vegetation dynamics under changing climate scenarios. Predictions are based on a minimum of required inputs: latitude, precipitation, air temperature, and cloudiness. Davis et al. (2017) <doi:10.5194/gmd-10-689-2017>.

Maintained by Roberto Villegas-Diaz. Last updated 2 years ago.

0.5 match 1 stars 2.70 score 10 scripts

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