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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.
Interface to Climatic Research Unit Time-Series Version 3.21 Data
Functions for reading in and manipulating CRU TS3.21: Climatic Research Unit (CRU) Time-Series (TS) Version 3.21 data.
Monthly Climate Data for Germany, Usable for Heating and Cooling Calculations
This data package contains monthly climate data in Germany, it can be used for heating and cooling calculations (external temperature, heating / cooling days, solar radiation).
Detection of Structural Changes in Climate and Environment Time Series
Tools for automatic model selection and diagnostics for Climate and Environmental data. In particular the envcpt() function does automatic model selection between a variety of trend, changepoint and autocorrelation models. The envcpt() function should be your first port of call.
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, health...).
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)
Compiles and Visualizes Wildfire, Climate, and Air Quality Data
Fetches data from three disparate data sources and allows user to perform analyses on them. It offers two core components: 1. A robust data retrieval and preparation infrastructure for wildfire, climate, and air quality index data and 2. A simple, informative, and interactive visualizations of the aforementioned datasets for California counties from 2011 through 2015. The sources of data are: wildfire data from Kaggle < https://www.kaggle.com/rtatman/188-million-us-wildfires>, climate data from the National Oceanic and Atmospheric Administration < https://www.ncdc.noaa.gov/cdo-web/token>, and air quality data from the Environmental Protection Agency < https://aqs.epa.gov/aqsweb/documents/data_api.html>.