References
- Abedi, M., et al. 2020. Evaluation of ECMWF mid-range ensemble forecasts of precipitation for the Karun River basin. Theoretical and Applied Climatology, 141 (1–2), 61–70. doi:10.1007/s00704-020-03160-0.
- Aksu, H. and Akgül, M.A., 2020. Performance evaluation of CHIRPS satellite precipitation estimates over Türkiye. Theoretical and Applied Climatology, 142 (1–2), 71–84. doi:10.1007/s00704-020-03301-5.
- Amjad, M., et al. 2020. Performance evaluation of satellite- and model-based precipitation products over varying climate and complex topography. Journal of Hydrology, 584 (February), 124707. doi:10.1016/j.jhydrol.2020.124707. Elsevier.
- Beck, H.E., et al. 2019. Daily evaluation of 26 precipitation datasets using stage-IV gauge-radar data for the CONUS. Hydrology and Earth System Sciences, 23 (1), 207–224. doi:10.5194/hess-23-207-2019.
- Bergström, S., 1976. Development and application of a conceptual runoff model for Scandinavian catchments.
- Bergström, S., 1992. The HBV model - its structure and applications. The Swedish Meteorological and Hydrological Institute, 4 (4), 1–33.
- Betts, A.K., Köhler, M., and Zhang, Y., 2009. Comparison of river basin hydrometeorology in ERA-interim and ERA-40 reanalyses with observations. Journal of Geophysical Research: Atmospheres, 114 (2), 1–12. doi:10.1029/2008JD010761.
- Bromwich, D.H., Nicolas, J.P., and Monaghan, A.J., 2011. An assessment of precipitation changes over Antarctica and the Southern Ocean since 1989 in contemporary global reanalyses. Journal of Climate, 24 (16), 4189–4209. doi:10.1175/2011JCLI4074.1.
- Buizza, R., et al. 1999. Probabilistic predictions of precipitation using the ECMWF ensemble prediction system. Weather and Forecasting, 14 (2), 168–189. doi:10.1175/1520-0434(1999)014<0168:PPOPUT>2.0.CO;2.
- Bulut, B., et al. 2019. Evaluation of remotely-sensed and model-based soil moisture products according to different soil type, vegetation cover and climate regime using station-based observations over Türkiye. Remote Sensing, 11 (16), 1875. doi:10.3390/rs11161875.
- Chakraborty, A., 2010. The skill of ECMWF medium-range forecasts during the year of tropical convection 2008. Monthly Weather Review, 138 (10), 3787–3805. doi:10.1175/2010MWR3217.1.
- de Leeuw, J., Methven, J., and Blackburn, M., 2015. Evaluation of ERA-interim reanalysis precipitation products using England and Wales observations. Quarterly Journal of the Royal Meteorological Society, 141 (688), 798–806. doi:10.1002/qj.2395.
- Derin, Y., et al. 2016. Multiregional satellite precipitation products evaluation over complex terrain. Journal of Hydrometeorology, 17 (6), 1817–1836. doi:10.1175/JHM-D-15-0197.1.
- Derin, Y. and Yilmaz, K.K., 2014. Evaluation of multiple satellite-based precipitation products over complex topography. Journal of Hydrometeorology, 15 (4), 1498–1516. doi:10.1175/JHM-D-13-0191.1.
- Duzenli, E., et al. 2018. Decadal variability analysis of extreme precipitation in Türkiye and its relationship with teleconnection patterns. Hydrological Processes, 32 (23), 3513–3528. doi:10.1002/hyp.13275.
- Duzenli, E., et al. 2021. Evaluating the performance of a WRF initial and physics ensemble over Eastern Black Sea and Mediterranean regions in Türkiye. Atmospheric Research, 248 (August 2020), 105184. doi:10.1016/j.atmosres.2020.105184.
- Ehsan, M.A., et al. 2020. Predicting peak summer monsoon precipitation over Pakistan in ECMWF SEAS5 and North American Multimodel Ensemble. The International Journal of Climatology (February), 1–18. doi:10.1002/joc.6535.
- El Kenawy, A.M., et al. 2015. Evaluation of the TMPA-3B42 precipitation product using a high-density rain gauge network over complex terrain in Northeastern Iberia. Global and Planetary Change, 133, 188–200. Elsevier B.V. doi:10.1016/j.gloplacha.2015.08.013
- Georgakakos, K.P. and Hudlow, M.D., (1984). Quantitative precipitation forecast techniques for use in hydrologic forecasting. Bulletin of the American Meteorological Society, 65 (11), 1186–1200. doi:10.1175/1520-0477(1984)065<1186:QPFTFU>2.0.CO;2.
- Heidinger, H., et al. 2012. TRMM rainfall correction over the Andean Plateau using wavelet multi-resolution analysis. International Journal of Remote Sensing, 33 (14), 4583–4602. doi:10.1080/01431161.2011.652315.
- Hénin, R., et al. 2018. Assessing the use of satellite-based estimates and high-resolution precipitation datasets for the study of extreme precipitation events over the Iberian Peninsula. Water (Switzerland), 10 (11). doi:10.3390/w10111688.
- Hersbach, H., et al. 2019a. The ERA5 global atmospheric reanalysis at ECMWF as a comprehensive dataset for climate data homogenization, climate variability, trends and extremes. Geophysical Research Abstracts, 21, 1.
- Hersbach, H., et al. 2019b. Global reanalysis: goodbye ERA-interim, hello ERA5. ECMWF Newsl, 159, 17–24. doi:10.21957/vf291hehd7.
- Islam, T., et al. 2012. Performance evaluation of the TRMM precipitation estimation using ground-based radars from the GPM validation network. Journal of Atmospheric and Solar-Terrestrial Physics, 77, 194–208. Elsevier. doi:10.1016/j.jastp.2012.01.001
- Kidd, C. and Huffman, G., 2011. Global precipitation measurement. Meteorological Applications, 18 (3), 334–353. doi:10.1002/met.284.
- Kim, H.M., Webster, P.J., and Curry, J.A., 2012. Seasonal prediction skill of ECMWF system 4 and NCEP CFSv2 retrospective forecast for the Northern Hemisphere Winter. Climate Dynamics, 39 (12), 2957–2973. doi:10.1007/s00382-012-1364-6.
- Klein Tank, A.M.G., et al. 2002. Daily dataset of 20th-century surface air temperature and precipitation series for the European climate assessment. International Journal of Climatology, 22 (12), 1441–1453. doi:10.1002/joc.773.
- Leutbecher, M. and Palmer, T.N., 2008. Ensemble forecasting. Journal of Computational Physics, 227 (7), 3515–3539. doi:10.1016/j.jcp.2007.02.014.
- Li, W.E.I., et al. 2019. Evaluation and bias correction of S2S precipitation for hydrological extremes. Journal of Hydrometeorology, 20 (9), 1887–1906. doi:10.1175/JHM-D-19-0042.1.
- Lin, R., Zhou, T., and Qian, Y., 2014. Evaluation of global monsoon precipitation changes based on five reanalysis datasets. Journal of Climate, 27 (3), 1271–1289. doi:10.1175/JCLI-D-13-00215.1.
- Liu, Z., et al. 2018. Evaluation of spatial and temporal performances of ERA-interim precipitation and temperature in Mainland China. Journal of Climate, 31 (11), 4347–4365. doi:10.1175/JCLI-D-17-0212.1.
- Magnusson, L. and Källén, E., 2013. Factors influencing skill improvements in the ECMWF forecasting system. Monthly Weather Review, 141 (9), 3142–3153. doi:10.1175/MWR-D-12-00318.1.
- Maidment, R.I., et al. 2013. Evaluation of satellite-based and model re-analysis rainfall estimates for Uganda. Meteorological Applications, 20 (3), 308–317. doi:10.1002/met.1283.
- Manzato, A., Cicogna, A., and Pucillo, A., 2016. 6-hour maximum rain in Friuli Venezia Giulia: climatology and ECMWF-based forecasts. Atmospheric Research, 169, 465–484. Elsevier B.V. doi:10.1016/j.atmosres.2015.07.013
- McKee, T.B., Doesken, N.J., and Kleist, J. 1993. The relationship of drought frequency and duration to time scales. In Proceedings of the 8th Conference on Applied Climatology. Vol. 17. California, 179–183.
- Medina, H., et al. 2019. Comparing GEFS, ECMWF, and postprocessing methods for ensemble precipitation forecasts over Brazil. Journal of Hydrometeorology, 20 (4), 773–790. doi:10.1175/JHM-D-18-0125.1.
- Milewski, A., et al. 2015. Assessment and comparison of TMPA satellite precipitation products in varying climatic and topographic regimes in Morocco. Remote Sensing, 7, 5697–5717. doi:10.3390/rs70505697.
- Nkiaka, E., Nawaz, N.R., and Lovett, J.C., 2017. Evaluating global reanalysis precipitation datasets with rain gauge measurements in the Sudano-Sahel region: case study of the Logone catchment, Lake Chad Basin. Meteorological Applications, 24 (1), 9–18. doi:10.1002/met.1600.
- Papadopoulos, A., Chronis, T.G., and Anagnostou, E.N., 2005. Improving convective precipitation forecasting through assimilation of regional lightning measurements in a mesoscale model. Monthly Weather Review, 133 (7), 1961–1977. doi:10.1175/MWR2957.1.
- Pappenberger, F. and Buizza, R., 2009. The skill of ECMWF precipitation and temperature predictions in the Danube basin as forcings of hydrological models. Weather and Forecasting, 24 (3), 749–766. doi:10.1175/2008WAF2222120.1.
- Ramsauer, T., Weiß, T., and Marzahn, P., 2018. Comparison of the GPM IMERG final precipitation product to RADOLAN weather radar data over the topographically and climatically diverse Germany. Remote Sensing, 10 (12), 2029. doi:10.3390/rs10122029.
- Richardson, D., 2000. Skill and relative economic value of the ECMWF ensemble prediction system. Quarterly Journal of the Royal Meteorological Society, 126 (563), 649–667. doi:10.1256/smsqj.56312.
- Seibert, J., 2005. HBV light. User’s manual, The Department of Earth Sciences at Uppsala University (November).
- Sensoy, S., 2004. The mountains influence on Türkiye climate climate of Türkiye (May). 25–29.
- Sharifi, E., Steinacker, R., and Saghafian, B., 2016. Assessment of GPM-IMERG and other precipitation products against gauge data under different topographic and climatic conditions in Iran: preliminary results. Remote Sensing, 8 (2), 135. doi:10.3390/rs8020135.
- Sun, Q., et al. 2018. A review of global precipitation data sets: data sources, estimation, and intercomparisons. Reviews of Geophysics, 56 (1), 79–107. doi:10.1002/2017RG000574.
- Szczypta, C., et al. 2011. Verification of the new ECMWF ERA-interim reanalysis over France. Hydrology and Earth System Sciences, 15 (2), 647–666. doi:10.5194/hess-15-647-2011.
- Toth, E., Brath, A., and Montanari, A., 2000. Comparison of short-term rainfall prediction models for real-time flood forecasting. Journal of Hydrology, 239 (1–4), 132–147. Elsevier. doi:10.1016/S0022-1694(00)00344-9.
- Wang, C., et al. 2018. Comparison of ERA5 and ERA-interim near surface air temperature and precipitation over arctic sea ice: effects on sea ice thermodynamics and evolution. Cryosph. Discuss, 1–28. doi:10.5194/tc-2018-245.
- Warrach-Sagi, K., et al. 2013. Evaluation of a climate simulation in Europe based on the WRF-NOAH model system: precipitation in Germany. Climate Dynamics, 41 (3–4), 755–774. doi:10.1007/s00382-013-1727-7.
- Wulfmeyer, V., et al. 2011. The convective and orographically-induced precipitation study (COPS): the scientific strategy, the field phase, and research highlights. Quarterly Journal of the Royal Meteorological Society, 137 (SUPPL. 1), 3–30. doi:10.1002/qj.752.
- Xu, X., et al. 2019. Evaluation of variability among different precipitation products in the Northern Great Plains. Journal of Hydrology: Regional Studies, 24 (November 2018), 100608. doi:10.1016/j.ejrh.2019.100608.
- Zambrano-Bigiarini, M., et al. 2017. Temporal and spatial evaluation of satellite-based rainfall estimates across the complex topographical and climatic gradients of Chile. Hydrology and Earth System Sciences, 21 (2), 1295–1320. doi:10.5194/hess-21-1295-2017.
- Zhang, Q., Körnich, H., and Holmgren, K., 2013. How well do reanalyses represent the Southern African precipitation? Climate Dynamics, 40 (3–4), 951–962. doi:10.1007/s00382-012-1423-z.
- Zhao, P., et al. 2021. Which precipitation forecasts to use? Deterministic versus coarser-resolution ensemble NWP models. Quarterly Journal of the Royal Meteorological Society, 147 (735), 900–913. doi:10.1002/qj.3952.