Local moisture recycling across the globe

Please cite the corresponding manuscript when using this data

Theeuwen, J. J. E., Staal, A., Tuinenburg, O. A., Hamelers, B. V. M., and Dekker, S. C.: Local moisture recycling across the globe, Hydrol. Earth Syst. Sci., 27, 1457–1476, https://doi.org/10.5194/hess-27-1457-2023, 2023.

This dataset includes multiple files that are listed below:
Overview of the files included in this dataset

Filename
Description

1.5degrees_weighted_yearly_average_moisture_recycling.nc
Recycling ratio of evaporated moisture within the source grid cell of 1.5 degrees. These are multi-year (2008-2017) averaged values. 

moisture_recycling_r9_**.nc
Multi-year (2008-2017) monthly average of the local moisture recycling ratio (r9). THe number (**) indicates which month, with 01 being January and 12 being December.

weighted_seasonal_average_moisture_recycling.nc
Multi-year (2008-2017) seasonal averages of the local moisture recycling ratio (r9). The first dimension of this file represents the season. 1: DJF, 2:MAM, 3:JJA, 4:SON.

weighted_yearly_average_moisture_recycling_r*.nc
The different definitions of the local moisture recycling ratio (r1, r9, r25). All are multi-year (2008-2017) averaged moisture recycling ratios

The moisture recycling at a resolution of 0.5 degrees has the following shape (360,720). Dimension 1 indicates the latitude, and dimension 2 indicates the longitude. 

The latitude ranges from 90 degrees to -90 degrees (np.arange(90,-90,-0.5))

The longitude ranges from 0 degrees to 360 degrees. 

For a format in which the longitude ranges between -180 and 180 degrees the following lines can be included in python:

plotlmr=np.zeros(lmr.shape)plotlmr[:,:360]=lmr[:,360:]plotlmr[:,360:]=lmr[:,:360]

Here lmr is the array in the original format.

The longitude and latitude arrays can now be defined as follows:

lats=np.arange(90,-90,-0.5)lons=np.arange(-180,180,0.5)