Showing 41 of total 41 results (show query)
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
13.3 match 5 stars 5.18 score 8 scripts
ropensci
getCRUCLdata:'CRU' 'CL' v. 2.0 Climatology Client
Provides functions that automate downloading and importing University of East Anglia Climate Research Unit ('CRU') 'CL' v. 2.0 climatology data, facilitates the calculation of minimum temperature and maximum temperature and formats the data into a data.table object or a list of 'terra' 'rast' objects for use. 'CRU' 'CL' v. 2.0 data are a gridded climatology of 1961-1990 monthly means released in 2002 and cover all land areas (excluding Antarctica) at 10 arc minutes (0.1666667 degree) resolution. For more information see the description of the data provided by the University of East Anglia Climate Research Unit, <https://crudata.uea.ac.uk/cru/data/hrg/tmc/readme.txt>.
Maintained by Adam H. Sparks. Last updated 11 days ago.
anglia-cruclimate-datacru-cl2temperaturerainfallelevationdata-accesswindrelative-humiditysolar-radiationdiurnal-temperaturefrostcrupeer-reviewed
10.1 match 18 stars 6.83 score 18 scriptsropensci
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
10.0 match 31 stars 6.72 score 28 scripts
ropenspain
climaemet:Climate AEMET Tools
Tools to download the climatic data of the Spanish Meteorological Agency (AEMET) directly from R using their API and create scientific graphs (climate charts, trend analysis of climate time series, temperature and precipitation anomalies maps, warming stripes graphics, climatograms, etc.).
Maintained by Diego Hernangómez. Last updated 1 months ago.
aemetclimatedataforecast-apiropenspainsciencespainweather-api
7.6 match 43 stars 8.32 score 59 scripts
niehs
amadeus:Accessing and Analyzing Large-Scale Environmental Data
Functions are designed to facilitate access to and utility with large scale, publicly available environmental data in R. The package contains functions for downloading raw data files from web URLs (download_data()), processing the raw data files into clean spatial objects (process_covariates()), and extracting values from the spatial data objects at point and polygon locations (calculate_covariates()). These functions call a series of source-specific functions which are tailored to each data sources/datasets particular URL structure, data format, and spatial/temporal resolution. The functions are tested, versioned, and open source and open access. For sum_edc() method details, see Messier, Akita, and Serre (2012) <doi:10.1021/es203152a>.
Maintained by Kyle Messier. Last updated 20 days ago.
6.7 match 8 stars 7.16 score 13 scripts
robwschlegel
heatwaveR:Detect Heatwaves and Cold-Spells
The different methods for defining, detecting, and categorising the extreme events known as heatwaves or cold-spells, as first proposed in Hobday et al. (2016) <doi: 10.1016/j.pocean.2015.12.014> and Hobday et al. (2018) <https://www.jstor.org/stable/26542662>. The functions in this package work on both air and water temperature data. These detection algorithms may be used on non-temperature data as well.
Maintained by Robert W. Schlegel. Last updated 2 months ago.
4.8 match 46 stars 9.36 score 343 scriptsropensci
rnoaa:'NOAA' Weather Data from R
Client for many 'NOAA' data sources including the 'NCDC' climate 'API' at <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. In addition, we have an interface for 'NOAA' sea ice data, the 'NOAA' severe weather inventory, 'NOAA' Historical Observing 'Metadata' Repository ('HOMR') data, 'NOAA' storm data via 'IBTrACS', tornado data via the 'NOAA' storm prediction center, and more.
Maintained by Daniel Hocking. Last updated 1 months ago.
earthscienceclimateprecipitationtemperaturestormbuoyncdcnoaatornadoesea iceisdnoaa-data
3.6 match 334 stars 9.39 score 788 scripts 4 dependents
jonasbhend
easyVerification:Ensemble Forecast Verification for Large Data Sets
Set of tools to simplify application of atomic forecast verification metrics for (comparative) verification of ensemble forecasts to large data sets. The forecast metrics are imported from the 'SpecsVerification' package, and additional forecast metrics are provided with this package. Alternatively, new user-defined forecast scores can be implemented using the example scores provided and applied using the functionality of this package.
Maintained by Jonas Bhend. Last updated 2 years ago.
3.4 match 1 stars 6.04 score 61 scripts 4 dependents
ecor
RMAWGEN:Multi-Site Auto-Regressive Weather GENerator
S3 and S4 functions are implemented for spatial multi-site stochastic generation of daily time series of temperature and precipitation. These tools make use of Vector AutoRegressive models (VARs). The weather generator model is then saved as an object and is calibrated by daily instrumental "Gaussianized" time series through the 'vars' package tools. Once obtained this model, it can it can be used for weather generations and be adapted to work with several climatic monthly time series.
Maintained by Emanuele Cordano. Last updated 26 days ago.
3.4 match 3 stars 5.62 score 115 scripts 4 dependents
ncss-tech
soilDB:Soil Database Interface
A collection of functions for reading soil data from U.S. Department of Agriculture Natural Resources Conservation Service (USDA-NRCS) and National Cooperative Soil Survey (NCSS) databases.
Maintained by Andrew Brown. Last updated 7 days ago.
ksslnasisnrcssoilsoil-data-accesssoil-surveysoilwebsqlusda
1.7 match 87 stars 11.34 score 1.0k scripts 1 dependents
face-it-project
FjordLight:Available Light Within the Water Column and on the Seafloor of Arctic Fjords
Satellite data collected between 2003 and 2022, in conjunction with gridded bathymetric data (50-150 m resolution), are used to estimate the irradiance reaching the bottom of a series of representative EU Arctic fjords. An Earth System Science Data (ESSD) manuscript, Schlegel et al. (2024), provides a detailed explanation of the methodology.
Maintained by Robert W. Schlegel. Last updated 7 months ago.
4.2 match 4.30 score 6 scripts
ropensci
nasapower:NASA POWER API Client
An API client for NASA POWER global meteorology, surface solar energy and climatology data API. POWER (Prediction Of Worldwide Energy Resources) data are freely available for download with varying spatial resolutions dependent on the original data and with several temporal resolutions depending on the POWER parameter and community. This work is funded through the NASA Earth Science Directorate Applied Science Program. For more on the data themselves, the methodologies used in creating, a web- based data viewer and web access, please see <https://power.larc.nasa.gov/>.
Maintained by Adam H. Sparks. Last updated 11 days ago.
nasameteorological-dataweatherglobalweather-datameteorologynasa-poweragroclimatologyearth-sciencedata-accessclimate-dataagroclimatology-dataweather-variables
1.8 match 101 stars 9.98 score 137 scripts 3 dependents
dutangc
gumbel:The Gumbel-Hougaard Copula
Provides probability functions (cumulative distribution and density functions), simulation function (Gumbel copula multivariate simulation) and estimation functions (Maximum Likelihood Estimation, Inference For Margins, Moment Based Estimation and Canonical Maximum Likelihood).
Maintained by Christophe Dutang. Last updated 5 months ago.
5.1 match 3.29 score 13 scripts 1 dependents
mapme-initiative
mapme.biodiversity:Efficient Monitoring of Global Biodiversity Portfolios
Biodiversity areas, especially primary forest, serve a multitude of functions for local economy, regional functionality of the ecosystems as well as the global health of our planet. Recently, adverse changes in human land use practices and climatic responses to increased greenhouse gas emissions, put these biodiversity areas under a variety of different threats. The present package helps to analyse a number of biodiversity indicators based on freely available geographical datasets. It supports computational efficient routines that allow the analysis of potentially global biodiversity portfolios. The primary use case of the package is to support evidence based reporting of an organization's effort to protect biodiversity areas under threat and to identify regions were intervention is most duly needed.
Maintained by Darius A. Görgen. Last updated 3 months ago.
environmenteogismapmespatialsustainability
1.7 match 35 stars 9.24 score 287 scripts
mwtoews
seas:Seasonal Analysis and Graphics, Especially for Climatology
Capable of deriving seasonal statistics, such as "normals", and analysis of seasonal data, such as departures. This package also has graphics capabilities for representing seasonal data, including boxplots for seasonal parameters, and bars for summed normals. There are many specific functions related to climatology, including precipitation normals, temperature normals, cumulative precipitation departures and precipitation interarrivals. However, this package is designed to represent any time-varying parameter with a discernible seasonal signal, such as found in hydrology and ecology.
Maintained by Mike Toews. Last updated 3 years ago.
3.5 match 8 stars 3.68 score 60 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.
1.6 match 16 stars 7.42 score 390 scripts 2 dependents
indecis-project
INQC:Quality Control of Climatological Daily Time Series
Collection of functions for quality control (QC) of climatological daily time series (e.g. the ECA&D station data).
Maintained by Enric Aguilar. Last updated 4 years ago.
3.5 match 4 stars 3.30 score 1 scripts
pacificclimate
ncdf4.helpers:Helper Functions for Use with the 'ncdf4' Package
Contains a collection of helper functions for dealing with 'NetCDF' files <https://www.unidata.ucar.edu/software/netcdf/> opened using 'ncdf4', particularly 'NetCDF' files that conform to the Climate and Forecast (CF) Metadata Conventions <http://cfconventions.org/Data/cf-conventions/cf-conventions-1.7/cf-conventions.html>.
Maintained by Lee Zeman. Last updated 3 years ago.
1.8 match 5 stars 5.85 score 236 scripts 1 dependents
emilio-berti
GHCNr:Download Weather Station Data from GHCNd
The goal of 'GHCNr' is to provide a fast and friendly interface with the Global Historical Climatology Network daily (GHCNd) database, which contains daily summaries of weather station data worldwide (<https://www.ncei.noaa.gov/products/land-based-station/global-historical-climatology-network-daily>). GHCNd is accessed through the web API <https://www.ncei.noaa.gov/access/services/data/v1>. 'GHCNr' main functionalities consist of downloading data from GHCNd, filter it, and to aggregate it at monthly and annual scales.
Maintained by Emilio Berti. Last updated 2 months ago.
2.0 match 2 stars 4.95 score 3 scripts
cran
SeaVal:Validation of Seasonal Weather Forecasts
Provides tools for processing and evaluating seasonal weather forecasts, with an emphasis on tercile forecasts. We follow the World Meteorological Organization's "Guidance on Verification of Operational Seasonal Climate Forecasts", S.J.Mason (2018, ISBN: 978-92-63-11220-0, URL: <https://library.wmo.int/idurl/4/56227>). The development was supported by the European Union’s Horizon 2020 research and innovation programme under grant agreement no. 869730 (CONFER). A comprehensive online tutorial is available at <https://seasonalforecastingengine.github.io/SeaValDoc/>.
Maintained by Claudio Heinrich-Mertsching. Last updated 9 months ago.
5.4 match 1.70 score
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.
1.9 match 4.60 score 2 scripts
cmsaf
cmsafvis:Tools to Visualize CM SAF NetCDF Data
The Satellite Application Facility on Climate Monitoring (CM SAF) is a ground segment of the European Organization for the Exploitation of Meteorological Satellites (EUMETSAT) and one of EUMETSATs Satellite Application Facilities. The CM SAF contributes to the sustainable monitoring of the climate system by providing essential climate variables related to the energy and water cycle of the atmosphere (<https://www.cmsaf.eu>). It is a joint cooperation of eight National Meteorological and Hydrological Services. The 'cmsafvis' R-package provides a collection of R-operators for the analysis and visualization of CM SAF NetCDF data. CM SAF climate data records are provided for free via (<https://wui.cmsaf.eu/safira>). Detailed information and test data are provided on the CM SAF webpage (<http://www.cmsaf.eu/R_toolbox>).
Maintained by Steffen Kothe. Last updated 6 months ago.
1.8 match 2 stars 4.73 score 1 scripts 1 dependents
rkbauer
oceanmap:A Plotting Toolbox for 2D Oceanographic Data
Plotting toolbox for 2D oceanographic data (satellite data, sea surface temperature, chlorophyll, ocean fronts & bathymetry). Recognized classes and formats include netcdf, Raster, '.nc' and '.gz' files.
Maintained by Robert K. Bauer. Last updated 1 years ago.
bathymetrychlaggplotmapping-toolsncdfoceanographic-dataremote-sensingsatellite-imspatial-datasst
1.8 match 4 stars 4.54 score 58 scripts 1 dependentscran
s2dv:A Set of Common Tools for Seasonal to Decadal Verification
The advanced version of package 's2dverification'. It is intended for 'seasonal to decadal' (s2d) climate forecast verification, but it can also be used in other kinds of forecasts or general climate analysis. This package is specially designed for the comparison between the experimental and observational datasets. The functionality of the included functions covers from data retrieval, data post-processing, skill scores against observation, to visualization. Compared to 's2dverification', 's2dv' is more compatible with the package 'startR', able to use multiple cores for computation and handle multi-dimensional arrays with a higher flexibility. The CDO version used in development is 1.9.8.
Maintained by Ariadna Batalla. Last updated 5 months ago.
4.1 match 1.95 score 3 dependents
pvanlaake
ncdfCF:Easy Access to NetCDF Files with CF Metadata Conventions
Network Common Data Form ('netCDF') files are widely used for scientific data. Library-level access in R is provided through packages 'RNetCDF' and 'ncdf4'. Package 'ncdfCF' is built on top of 'RNetCDF' and makes the data and its attributes available as a set of R6 classes that are informed by the Climate and Forecasting Metadata Conventions. Access to the data uses standard R subsetting operators and common function forms.
Maintained by Patrick Van Laake. Last updated 2 days ago.
1.3 match 5.41 score 4 scriptscran
airGRteaching:Teaching Hydrological Modelling with the GR Rainfall-Runoff Models ('Shiny' Interface Included)
Add-on package to the 'airGR' package that simplifies its use and is aimed at being used for teaching hydrology. The package provides 1) three functions that allow to complete very simply a hydrological modelling exercise 2) plotting functions to help students to explore observed data and to interpret the results of calibration and simulation of the GR ('Génie rural') models 3) a 'Shiny' graphical interface that allows for displaying the impact of model parameters on hydrographs and models internal variables.
Maintained by Olivier Delaigue. Last updated 1 months ago.
1.3 match 6 stars 4.82 score
luzmmorales
ideamdb:Easy Manipulation of IDEAM's Climatological Data
Time series plain text conversion and data visualization. It allows to transform IDEAM (Instituto de Hidrologia, Meteorologia y Estudios Ambientales) daily series from plain text to CSV files or data frames in R. Additionally, it is possible to obtain exploratory graphs from times series. IDEAM’s data is freely delivered under formal request through the official web page <http://www.ideam.gov.co/solicitud-de-informacion>.
Maintained by Luz Maria Morales. Last updated 6 years ago.
3.0 match 2.00 score
jaggh
climatol:Climate Tools (Series Homogenization and Derived Products)
Functions for the quality control, homogenization and missing data filling of climatological series and to obtain climatological summaries and grids from the results. Also functions to display wind-roses, meteograms, Walter&Lieth diagrams, and more.
Maintained by Jose A. Guijarro. Last updated 12 months ago.
2.7 match 2 stars 2.16 score 67 scripts
sieste
SpecsVerification:Forecast Verification Routines for Ensemble Forecasts of Weather and Climate
A collection of forecast verification routines developed for the SPECS FP7 project. The emphasis is on comparative verification of ensemble forecasts of weather and climate.
Maintained by Stefan Siegert. Last updated 5 years ago.
1.8 match 1 stars 3.12 score 44 scripts 5 dependents
mrheath
StrathE2E2:End-to-End Marine Food Web Model
A dynamic model of the big-picture, whole ecosystem effects of hydrodynamics, temperature, nutrients, and fishing on continental shelf marine food webs. The package is described in: Heath, M.R., Speirs, D.C., Thurlbeck, I. and Wilson, R.J. (2020) <doi:10.1111/2041-210X.13510> StrathE2E2: An R package for modelling the dynamics of marine food webs and fisheries. 8pp.
Maintained by Michael Heath. Last updated 4 years ago.
1.8 match 3.10 score 25 scripts
aphalo
photobiology:Photobiological Calculations
Definitions of classes, methods, operators and functions for use in photobiology and radiation meteorology and climatology. Calculation of effective (weighted) and not-weighted irradiances/doses, fluence rates, transmittance, reflectance, absorptance, absorbance and diverse ratios and other derived quantities from spectral data. Local maxima and minima: peaks, valleys and spikes. Conversion between energy-and photon-based units. Wavelength interpolation. Astronomical calculations related solar angles and day length. Colours and vision. This package is part of the 'r4photobiology' suite, Aphalo, P. J. (2015) <doi:10.19232/uv4pb.2015.1.14>.
Maintained by Pedro J. Aphalo. Last updated 3 days ago.
lightphotobiologyquantificationr4photobiology-suiteradiationspectrasun-position
0.5 match 4 stars 9.35 score 604 scripts 12 dependents
maxtailt
extremeIndex:Forecast Verification for Extreme Events
An index measuring the amount of information brought by forecasts for extreme events, subject to calibration, is computed. This index is originally designed for weather or climate forecasts, but it may be used in other forecasting contexts. This is the implementation of the index in Taillardat et al. (2019) <arXiv:1905.04022>.
Maintained by Maxime Taillardat. Last updated 3 years ago.
4.1 match 1 stars 1.00 score
kopflab
ggstackplot:Create Overlapping Stacked Plots
Easily create overlapping grammar of graphics plots for scientific data visualization. This style of plotting is particularly common in climatology and oceanography research communities.
Maintained by Sebastian Kopf. Last updated 2 months ago.
0.5 match 2 stars 4.48 score
drought
CompoundEvents:Statistical Modeling of Compound Events
Tools for extracting occurrences, assessing potential driving factors, predicting occurrences, and quantifying impacts of compound events in hydrology and climatology. Please see Hao Zengchao et al. (2019) <doi:10.1088/1748-9326/ab4df5>.
Maintained by Zengchao Hao. Last updated 1 years ago.
0.5 match 1 stars 1.00 score
