ارزیابی تاثیر روش‌های تصحیح اریبی بر مهارت پیش‌بینی فصلی بارش مدل اقلیمی CFSv2

An-Vo, D. A., Mushtaq, S., Reardon-Smith, K., Kouadio, L., Attard, S., Cobon, D., & Stone, R. (2019). Value of seasonal forecasting for sugarcane farm irrigation planning. European journal of agronomy, 104, 37-48.

Bhend J. 2015. easyVerification: Forecast verification metrics for large datasets. R package version 0.1.5.3

Block, P. (2010). Tailoring seasonal climate forecasts for hydropower operations in Ethiopia's upper Blue Nile basin. Hydrol. Earth Syst. Sci. Discuss, 7(3), 3765-3802.

Bedia, J., Baño-Medina, J., Legasa, M. N., Iturbide, M., Manzanas, R., Herrera, S., ... & Gutiérrez, J. M. (2019). Statistical downscaling with the downscaleR package: Contribution to the VALUE intercomparison experiment.

Brent, R. P. (1971). An algorithm with guaranteed convergence for finding a zero of a function. The Computer Journal, 14(4), 422-425.

Chen, J., Brissette, F. P., Chaumont, D., & Braun, M. (2013). Finding appropriate bias correction methods in downscaling precipitation for hydrologic impact studies over North America. Water Resources Research, 49(7), 4187-4205.

Crochemore, L., Ramos, M. H., & Pappenberger, F. (2016). Bias correcting precipitation forecasts to improve the skill of seasonal streamflow forecasts.

Cofiño, A. S., Bedia, J., Iturbide, M., Vega, M., Herrera, S., Fernández, J., ... & Gutiérrez, J. M. (2018). The ECOMS User Data Gateway: Towards seasonal forecast data provision and research reproducibility in the era of Climate Services. Climate Services, 9, 33-43.

Doblas‐Reyes, F. J., García‐Serrano, J., Lienert, F., Biescas, A. P., & Rodrigues, L. R. (2013). Seasonal climate predictability and forecasting: status and prospects. Wiley Interdisciplinary Reviews: Climate Change, 4(4), 245-268.

Fang, G., Yang, J., Chen, Y. N., & Zammit, C. (2015). Comparing bias correction methods in downscaling meteorological variables for a hydrologic impact study in an arid area in China. Hydrology and Earth System Sciences, 19(6), 2547-2559.

Frías, M. D., Iturbide, M., Manzanas, R., Bedia, J., Fernández, J., Herrera, S., ... & Gutiérrez, J. M. (2018). An R package to visualize and communicate uncertainty in seasonal climate prediction. Environmental modelling & software, 99, 101-110.

Gudmundsson, L., Bremnes, J. B., Haugen, J. E., & Skaugen, T. E. (2012). Technical Note: Downscaling RCM precipitation to the station scale using quantile mapping–a comparison of methods. Hydrol. Earth Syst. Sci. Discuss, 9(5), 6185-6201.

Gutiérrez, J. M., Bedia, J., Benestad, R., & Pagé, C. (2013). Review of the different statistical downscaling methods for s2d prediction. Technical Report. SPECS Deliverable, 52, 1.

Gutiérrez, J. M., Maraun, D., Widmann, M., Huth, R., Hertig, E., Benestad, R., ... & San Martin, D. (2019). An intercomparison of a large ensemble of statistical downscaling methods over Europe: Results from the VALUE perfect predictor cross‐validation experiment. International journal of climatology, 39(9), 3750-3785.

Gutjahr, O., & Heinemann, G. (2013). Comparing precipitation bias correction methods for high-resolution regional climate simulations using COSMO-CLM. Theoretical and applied climatology, 114(3-4), 511-529.

Hamlet, A. F., Huppert, D., & Lettenmaier, D. P. (2002). Economic value of long-lead streamflow forecasts for Columbia River hydropower. Journal of Water Resources Planning and Management, 128(2), 91-101.

Iturbide, M., Bedia, J., Herrera, S., Baño-Medina, J., Fernández, J., Frías, M. D., ... & Gutiérrez, J. M. (2019). The R-based climate4R open framework for reproducible climate data access and post-processing. Environmental Modelling & Software, 111, 42-54.

Johnson, F., & Sharma, A. (2011). Accounting for interannual variability: A comparison of options for water resources climate change impact assessments. Water Resources Research, 47(4).

Leander, R., & Buishand, T. A. (2007). Resampling of regional climate model output for the simulation of extreme river flows. Journal of Hydrology, 332(3-4), 487-496.

Leander, R., Buishand, T. A., van den Hurk, B. J., & de Wit, M. J. (2008). Estimated changes in flood quantiles of the river Meuse from resampling of regional climate model output. Journal of Hydrology, 351(3-4), 331-343.

Lenderink, G., Buishand, A., & Van Deursen, W. (2007). Estimates of future discharges of the river Rhine using two scenario methodologies: direct versus delta approach.

Marcos, R., Llasat, M. C., Quintana-Seguí, P., & Turco, M. (2018). Use of bias correction techniques to improve seasonal forecasts for reservoirs—A case-study in northwestern Mediterranean. Science of the total environment, 610, 64-74.

Manzanas, R., Lucero, A., Weisheimer, A., & Gutiérrez, J. M. (2018). Can bias correction and statistical downscaling methods improve the skill of seasonal precipitation forecasts?. Climate dynamics, 50(3-4), 1161-1176.

Manzanas, R., Gutiérrez, J. M., Bhend, J., Hemri, S., Doblas-Reyes, F. J., Torralba, V., ... & Brookshaw, A. (2019). Bias adjustment and ensemble recalibration methods for seasonal forecasting: A comprehensive intercomparison using the C3S dataset. Climate Dynamics, 53(3-4), 1287-1305.

Manzanas, R., Gutiérrez, J. M., Bhend, J., Hemri, S., Doblas-Reyes, F. J., Penabad, E., & Brookshaw, A. (2020). Statistical adjustment, calibration and downscaling of seasonal forecasts: a case-study for Southeast Asia. Climate Dynamics, 1-14.

Mendez, M., Maathuis, B., Hein-Griggs, D., & Alvarado-Gamboa, L. F. (2020). Performance Evaluation of Bias Correction Methods for Climate Change Monthly Precipitation Projections over Costa Rica. Water, 12(2), 482.

Ogutu, G. E., Franssen, W. H., Supit, I., Omondi, P., & Hutjes, R. W. (2017). Skill of ECMWF system‐4 ensemble seasonal climate forecasts for East Africa. International Journal of Climatology, 37(5), 2734-2756.

Parton, K. A., Crean, J., & Hayman, P. (2019). The value of seasonal climate forecasts for Australian agriculture. Agricultural systems, 174, 1-10.

Piani, C., Haerter, J. O., & Coppola, E. (2010). Statistical bias correction for daily precipitation in regional climate models over Europe. Theoretical and Applied Climatology, 99(1-2), 187-192.

Saha, S., Moorthi, S., Wu, X., Wang, J., Nadiga, S., Tripp, P., ... & Ek, M. (2014). The NCEP climate forecast system version 2. Journal of climate, 27(6), 2185-2208.

Schmidli, J., Frei, C., & Vidale, P. L. (2006). Downscaling from GCM precipitation: a benchmark for dynamical and statistical downscaling methods. International Journal of Climatology: A Journal of the Royal Meteorological Society, 26(5), 679-689.

Siegert, S., Bhend, J., Kroener, I., & De Felice, M. (2017). Package ‘SpecsVerification’.

Smith, D. M., Eade, R., & Pohlmann, H. (2013). A comparison of full-field and anomaly initialization for seasonal to decadal climate prediction. Climate Dynamics, 41(11-12), 3325-3338.

Steinemann, A. C. (2006). Using climate forecasts for drought management. Journal of Applied Meteorology and Climatology, 45(10), 1353-1361.

Tall, A., Mason, S. J., Van Aalst, M., Suarez, P., Ait-Chellouche, Y., Diallo, A. A., & Braman, L. (2012). Using seasonal climate forecasts to guide disaster management: the Red Cross experience during the 2008 West Africa floods. International Journal of Geophysics, 2012.

Teutschbein, C., & Seibert, J. (2012). Bias correction of regional climate model simulations for hydrological climate-change impact studies: Review and evaluation of different methods. Journal of hydrology, 456, 12-29.

Thom, H. C. (1958). A note on the gamma distribution. Monthly Weather Review, 86(4), 117-122.

Troccoli, A. (2010). Seasonal climate forecasting. Meteorological Applications, 17(3), 251-268.

Von Storch, H., Zorita, E., & Cubasch, U. (1993). Downscaling of global climate change estimates to regional scales: an application to Iberian rainfall in wintertime. Journal of Climate, 6(6), 1161-1171.

Wetterhall, F., Winsemius, H. C., Dutra, E., Werner, M., & Pappenberger, E. (2015). Seasonal predictions of agro-meteorological drought indicators for the Limpopo basin. Hydrology and Earth System Sciences, 19(6), 2577-2586.