Articles | Volume 25, issue 5
https://doi.org/10.5194/hess-25-2805-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-25-2805-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Technical note: Evaluation and bias correction of an observation-based global runoff dataset using streamflow observations from small tropical catchments in the Philippines
Department of Earth and Planetary Science, University of
California, Berkeley, California 94720, USA
Institute at Brown for Environment and Society and the Department
of Earth, Environmental and Planetary Science, Brown University, Providence, Rhode Island 02912, USA
Carlos Primo C. David
CORRESPONDING AUTHOR
National Institute of Geological Sciences, University of the
Philippines, Diliman, Quezon City, 1101, Philippines
Pamela Louise M. Tolentino
National Institute of Geological Sciences, University of the
Philippines, Diliman, Quezon City, 1101, Philippines
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Short summary
We evaluate a recently published global product of monthly runoff using streamflow data from small tropical catchments in the Philippines. Using monthly runoff observations from catchments, we tested for correlation and prediction. We demonstrate the potential utility of this product in assessing trends in regional-scale runoff, as well as look at the correlation of phenomenon such as the El Niño–Southern Oscillation on streamflow in this wet but drought-prone archipelago.
We evaluate a recently published global product of monthly runoff using streamflow data from...