## ClimProjDiags

Set of tools to compute various climate indices

### Why should I use it?

The package contains a 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 these 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 modelâ€™s native grid. Indices can be assigned and/or combined to
construct new indices.

### How do I get it?

To install and load the package you can run the next lines in your R
session:

```
install.packages("ClimProjDiags")
library(ClimProjDiags)
```

### How do I use it?

The main functionalities are presented in four different vignettes
with step by step examples:

- Multi-model
agreement: computes a projected climate anomaly and provides the
percentage of models which agree on the sign of the anomaly.
- Extreme
Indices: computes different extreme indices and combine these
indices to evalutae how extreme events are projected to change in the
future climate.
- Heat
and Cold Wave Duration: computes change in heat wave frequency
between present and future conditions.
- Diurnal
temperature variation indicator: compares the future projection of
diurnal temperature variations with a reference period.