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Multivariate Bias Correction of Climate Model Outputs
Calibrate and apply multivariate bias correction algorithms
for climate model simulations of multiple climate variables. Three methods
described by Cannon (2016)
Agro-Climatic Data by County
The functions are designed to calculate the most widely-used county-level variables in agricultural production or agricultural-climatic and weather analyses. To operate some functions in this package needs download of the bulk PRISM raster. See the examples, testing versions and more details from: < https://github.com/ysd2004/acdcR>.
Uncertainties of Climate Projections using Smoothing Splines
These functions use smoothing-splines for the assessment of single-member ensembles of climate projections.
- Cheng, C.-I. and P. L. Speckman (2012)
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)
Dengue Cases and Climate Variables in Colombo Sri Lanka
Weekly notified dengue cases and climate variables in Colombo district Sri Lanka from 2008/ week-52 to 2014/ week-21.
Partitioning Uncertainty Components of an Incomplete Ensemble of Climate Projections
These functions use data augmentation and Bayesian techniques for the assessment of single-member and incomplete ensembles of climate projections. It provides unbiased estimates of climate change responses of all simulation chains and of all uncertainty variables. It additionally propagates uncertainty due to missing information in the estimates.
- Evin, G., B. Hingray, J. Blanchet, N. Eckert, S. Morin, and D. Verfaillie. (2019)
Access Canadian Historical Climate Data
Provides easy access to historical climate data in Canada from R. Search for weather stations and download raw hourly, daily or monthly weather data across Canada from 1840 to present. Implements public API access as detailed at < https://climate.weather.gc.ca>.
Easy Access to High-Resolution Daily Climate Data for Europe
Get high-resolution (1 km) daily climate data (precipitation, minimum and maximum temperatures) for points and polygons within Europe.
Meteorological Data Manipulation
A set of functions for weather and climate data manipulation, and other helper functions, to support dynamic ecological modeling, particularly crop and crop disease modeling.
Set of Tools to Compute Various Climate Indices
Set of tools to compute metrics and indices for climate analysis.
The package provides functions to compute extreme indices, evaluate the
agreement between models and combine theses models into an ensemble. Multi-model
time series of climate indices can be computed either after averaging the 2-D
fields from different models provided they share a common grid or by combining
time series computed on the model native grid. Indices can be assigned weights
and/or combined to construct new indices. The package makes use of some of the
methods described in:
N. Manubens et al. (2018)