Congo Basin Hydrology, Climate, and Biogeochemistry. Группа авторов

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СКАЧАТЬ Sonwa, D. J., & Kamga, F. M. (2014). Identification of processes driving low‐level westerlies in West Equatorial Africa. Journal of Climate, 27(11), 4245–4262. doi: 10.1175/JCLI‐D‐13‐00490.1

      85 Redelsperger, J.‐L., & Lebel, T. (2009). Surface processes and water cycle in West Africa, studied from the AMMA‐CATCH observing system. Journal of Hydrology, 375(1–2), 1–2. doi: 10.1016/j.jhydrol.2009.08.017

      86 Reynolds, R. W., Rayne, N. A., Smith, T. M., Stokes, D. C., & Wang, W. (2002). An improved in situ and satellite SST analysis for climate. Journal of Climate, 15(3), 1609–1625. doi: 10.1175/1520‐0442(2002)0153C1609:AIISAS3E2.0.CO;2

      87 Save, H., Bettadpur, S., & Tapley, B. D. (2016). High‐resolution CSR GRACE RL05 mascons. Journal of Geophysical Research: Solid Earth, 121(10), 7547–7569. doi: 10.1002/2016JB013007

      88 Scanlon, B. R., Zhang, Z., Save, H., Wiese, D. N., Landerer, F. W., Long, D., et al. (2016). Global evaluation of new GRACE mascon products for hydrologic applications. Water Resources Research, 52(12), 9412–9429. doi: 10.1002/2016WR019494

      89 Schroth, G., Läderach, P., Martinez‐Valle, A. I., Bunn, C., & Jassogn, L. (2016). Vulnerability to climate change of cocoa in West Africa: Patterns, opportunities and limits to adaptation. Science of the Total Environment, 556, 231–241. doi: 10.1016/j.scitotenv.2016.03.024

      90 Shiferaw, B., Tesfaye, K., Kassie, M., Abate, T., Prasanna, B., & Menkir, A. (2014). Managing vulnerability to drought and enhancing livelihood resilience in sub‐Saharan Africa: technological, institutional and policy options. Weather and Climate Extremes, 3(0), 67–79. doi: 10.1016/j.wace.2014.04.004

      91 Smola, A. J., & Schölkopf, B. (2004). A tutorial on support vector regression. Statistics and Computing, 14(3), 199–222. doi: 10.1023/B:STCO.0000035301.49549.88

      92 Sorí, R., Nieto, R., Vicente‐Serrano, S. M., Drumond, A., & Gimeno, L. (2017). A Lagrangian perspective of the hydrological cycle in the Congo River basin. Earth System Dynamics, 8(3), 653–675. doi: 10.5194/esd‐8‐653‐2017

      93 Spinoni, J., Naumann, G., Carrao, H., Barbosa, P., & Vogt, J. (2014). World drought frequency, duration, and severity for 1951–2010. International Journal of Climatology, 34(8), 2792–2804. doi: 10.1002/joc.3875

      94 Tapley, B., Bettadpur, S., Watkins, M., & Reigber, C. (2004). The Gravity Recovery and Climate Experiment: Mission overview and early results. Geophysical Research Letters, 31, 1–4. doi: 10.1029/ 2004GL019920

      95 Thomas, B. F., Famiglietti, J. S., Landerer, F. W., Wiese, D. N., Molotch, N. P., & Argus, D. F. (2017). GRACE groundwater drought index: Evaluation of California Central Valley groundwater drought. Remote Sensing of Environment, 198(Supplement C), 384–392. doi: 10.1016/j.rse.2017.06.026

      96 Tockner, K., Lorang, M. S., & Stanford, J. A. (2010). River flood plains are model ecosystems to test general hydrogeomorphic and ecological concepts. River Research and Applications, 26(1), 76–86. doi: 10.1002/rra.1328

      97 Tshimanga, R. M., & Hughes, D. A. (2014). Basin‐scale performance of a semi‐distributed rainfall‐runoff model for hydrological predictions and water resources assessment of large rivers: The Congo River. Water Resources Research, 50(2), 1174–1188. doi: 10.1002/2013WR014310

      98 Van Loon, A. F., Kumar, R., & Mishra, V. (2017). Testing the use of standardised indices and GRACE satellite data to estimate the European 2015 groundwater drought in near‐real time. Hydrology and Earth System Sciences, 21(4), 1947–1971. doi: 10.5194/hess‐21‐1947‐2017

      99 Van Loon, A. F., Stahl, K., Di Baldassarre, G., Clark, J., Rangecroft, S., Wanders, N., et al. (2016). Drought in a human‐modified world: reframing drought definitions, understanding, and analysis approaches. Hydrology and Earth System Sciences, 20(9), 3631–3650. doi: 10.5194/hess‐20‐3631‐2016

      100 Van Loon, A. F., Tijdeman, E., Wanders, N., Van Lanen, H. A., Teuling, A. J., & Uijlenhoet, R. (2014). How climate seasonality modifies drought duration and deficit. Journal of Geophysical Research: Atmospheres, 119(8), 4640–4656. doi: 10.1002/2013JD020383

      101 Vapnik, V. (1995). The Nature of Statistical Learning Theory. New York, NY: Springer.

      102 Verhegghen, A., Mayaux, P., de Wasseige, C., & Defourny, P. (2012). Mapping Congo Basin vegetation types from 300 m and 1 km multi‐sensor time series for carbon stocks and forest areas estimation. Biogeosciences, 9(12), 5061–5079. doi: 10.5194/bg‐9‐5061‐2012

      103 Vicente‐Serrano, S. M., Beguería, S., & López‐Moreno, J. I. (2010a). A multiscalar drought index sensitive to global warming: The standardized precipitation evapotranspiration index. Journal of Climate, 23(7), 1696–1718. doi: 10.1175/2009JCLI2909.1

      104 Vicente‐Serrano, S. M., Beguería, S., López‐Moreno, J. I., Angulo, M., & El Kenawy, A. (2010b). A new global 0.5° gridded dataset (1901–2006) of a multiscalar drought index: Comparison with current drought index datasets based on the palmer drought severity index. Journal of Hydrometeorology, 11(4), 1033–1043. doi: 10.1175/2010JHM1224.1

      105 Wada, Y., Bierkens, M. F. P., de Roo, A., Dirmeyer, P. A., Famiglietti, J. S., Hanasaki, N., et al. (2017). Human‐water interface in hydrological modelling: Current status and future directions. Hydrology and Earth System Sciences, 21(8), 4169–4193. doi: 10.5194/hess‐21‐4169‐2017

      106 Washington, R., James, R., Pearce, H., Pokam, W. M., & Moufouma‐Okia, W. (2013). Congo Basin rainfall climatology: can we believe the climate models? Philosophical Transactions of the Royal Society of London B: Biological Sciences, 368(1625). doi: 10.1098/rstb.2012.0296

      107 Watkins, M. M., Wiese, D. N., Yuan, D., Boening, C., & Landerer, F. W. (2015). Improved methods for observing earth’s time variable mass distribution with GRACE using spherical cap mascons. Journal of Geophysical Research: Solid Earth, 120(4), 2648–2671. doi: 10.1002/2014JB011547

      108 Wauters, M., & Vanhoucke, M. (2014). Support vector machine regression for project control forecasting. Automation in Construction, 47, 92–106. doi: 10.1016/j.autcon.2014.07.014.

      109 Wiese, D. N., Landerer, F. W., & Watkins, M. M. (2016). Quantifying and reducing leakage errors in the JPL RL05M GRACE mascon solution. Water Resources Research, 52(9), 7490–7502. https://doi.org/10.1002/2016WR019344

      110 Zhao, D., Jiang, H., Yang, T., Cai, Y., Xu, D., & An, S. (2012). Remote sensing of aquatic vegetation distribution in Taihu Lake using an improved classification tree with modified thresholds. Journal of Environmental Management, 95(1), 98–107. doi: 10.1016/j.jenvman.2011.10.007

      111 Zhou, L., Tian, Y., Myneni, R. B., Ciais, P., Saatchi, S., Liu, Y. Y., et al. (2014). Widespread decline of congo rainforest greenness in the past decade. Nature, 509(7498), 86–90. doi: 10.1038/nature13265

6 Hydroclimatic Dynamics of Upstream Ubangi River at Mobaye, Central African Republic: Comparative Study of the Role of Savannah and Equatorial Forest

       Cyriaque-Rufin Nguimalet1, Didier Orange2, Jean-Pascal Waterendji1, and Athanase Yambele3

       1 Department of Geography, University of Bangui, Bangui, Central African Republic

       2 Joint Research Unit “Eco&Sols” (UMR Eco&Sols), INRA, IRD, Montpellier SupAgro and CIRAD, Montpellier, France СКАЧАТЬ