Articles | Volume 27, issue 8
https://doi.org/10.5194/hess-27-1695-2023
https://doi.org/10.5194/hess-27-1695-2023
Research article
 | 
26 Apr 2023
Research article |  | 26 Apr 2023

Phenophase-based comparison of field observations to satellite-based actual evaporation estimates of a natural woodland: miombo woodland, southern Africa

Henry Zimba, Miriam Coenders-Gerrits, Kawawa Banda, Bart Schilperoort, Nick van de Giesen, Imasiku Nyambe, and Hubert H. G. Savenije

Data sets

ZAMSECUR Project Field Data Mpika, Zambia (Version 2) H. Zimba, M. Coenders, H. H. G. Savenije, N. van de Giesen, and P. Hulsman https://doi.org/10.4121/19372352.V2

ZAMSECUR Project Miombo Forest, Zambia, Southern Africa (Version 1) H. Zimba, H. H. G. Savenije, N. van de Giesen, M. Coenders, and B. Schilperoort https://doi.org/10.4121/20492934.V1

MODIS and VIIRS Land Products Global Subsetting and Visualization Tool, Subset obtained for MCD12Q2 product at [-12.76252], [32.48406], time period: [31-12-2020] to [31-12-2021], and subset size: [4] x [4] km ORNL DAAC https://doi.org/10.3334/ORNLDAAC/1379

MCD12Q2 MODIS/Terra+Aqua Land Cover Dynamics Yearly L3 Global 500m SIN Grid V061 M. Friedl, J. Gray, and D. Sulla-Menashe https://doi.org/10.5067/MODIS/MCD12Q2.061

MCD15A2H MODIS/Terra+Aqua Leaf Area Index/FPAR 8-day L4 Global 500m SIN Grid V061 R. Myneni, Y. Knyazikhin, and T. Park https://doi.org/10.5067/MODIS/MCD15A2H.061

NASA GSFC and MODAPS SIPS - NASA: MYD09GA MODIS/Aqua Surface Reflectance Daily L2G Global 1km and 500m SIN Grid E. Vermote and R. Wolfe https://doi.org/10.5067/MODIS/MYD09GA.006

Model code and software

Dtscalibration Python package for calibrating distributed temperature sensing measurements (v1.1.2) B. F. des Tombe and B. Schilperoort https://doi.org/10.5281/zenodo.7111585

Download
Short summary
Miombo woodland plants continue to lose water even during the driest part of the year. This appears to be facilitated by the adapted features such as deep rooting (beyond 5 m) with access to deep soil moisture, potentially even ground water. It appears the trend and amount of water that the plants lose is correlated more to the available energy. This loss of water in the dry season by miombo woodland plants appears to be incorrectly captured by satellite-based evaporation estimates.