Assessing Extreme Monthly Runoff Over an Arid Basin Through Reanalysis Datasets
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-47079-0_17
Reference6 articles.
1. Ghiggi, G., Bourrel, L., Labat, D., Ruelland, D., Frappart, F., Lavado, W., Dewitte, B., & Felipe, O. (2019). GRUN: An observation-based global gridded runoff dataset from 1902 to 2014. Earth System Science Data, 11, 1655–1674.
2. Hobeichi, S., Abramowitz, G., Evans, J., & Beck, H. (2019). Linear Optimal Runoff Aggregate (LORA): A global gridded synthesis runoff product. Hydrology and Earth System Sciences, 23, 851–870.
3. Ibarra, D., David, C., & Tolentino, P. (2021). Evaluation and bias correction of an observation-based global runoff dataset using streamflow observations from small tropical catchments in the Philippines. Hydrology and Earth System Sciences, 25, 2805–2820.
4. Llauca, H., Lavado-Casimiro, W., Montesinos, C., Santini, W., & Rau, P. (2021). PISCO_HyM_GR2M: A model of monthly water balance in Peru (1981–2020). Water, 13(8), 1048.
5. Negm, A., Bouderbala, A., Chenchouni, H., & Barcelo, D. (2020). Water Resources in Algeria-Part I: Assessment of Surface and Groundwater. Springer, Cham.
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