How many ground observations should we aim at?

TWIGA focuses on the combination of remote sensing data and ground-based observations to run models and develop products. The quality and amount of ground-based observations determines the accuracy of data that is used for satellite calibration and modeling, such as crop models.

Maintaining monitoring networks requires high resources, thus it is important to assess where observations are most needed. To determine how many stations are required to accurately estimate climate variables such as rainfall, statistical methods are applied. Those methods, however, require a minimum set of assumptions about, for example, average rainfall in a given region and its standard deviation. This is challenging in regions where no ground monitoring is available. Using satellite rainfall data from TAMSAT we estimate how many rainfall stations are required to correctly estimate rainfall up to an error of 5%.

Optimal number of rainfall stations required to estimate rainfall within a 5% error.

Rainfall distribution for August 2019 in Ghana based on TAMSAT satellite rainfall estimates.

In order to estimate how many observations are required, a priori information such as average rainfall, standard deviation, as well as acceptable errors. Currently, these input data are taken from high resolution (~4 km) TAMSAT satellite rainfall estimates in order to derive the optimal number of observations for a 0.25° grid (~25 km).

Our next steps are to estimate the required observations both based on TAMSAT and TAHMO station data and provide heatmaps of where ground monitoring is needed most.

Written by: Shakir Ahmed and Jan Friesen

UFZ

This project has received funding from the European Union’s Horizon 2020 Research and Innovation Programme under grant agreement No.776691. The opinions expressed on the web page are of the authors only and no way reflect the European Commission’s opinions. The European Union is not liable for any use that may be made of the information.