Abstract
The study assessed the performance of NASA’s Modern-Era Retrospective Analysis for Research and Applications (MERRA) and MERRA-2 aerological (P–E*) model in reproducing the salient features of West Africa water balance including its components from 1980 to 2013. In this study we have shown that recent reanalysis efforts have generated imbalances between regional integrated precipitation (P) and surface evaporation (E), and the effect is more in the newly released MERRA-2. The atmospheric water balance of MERRA and MERRA-2 were inter-compared and thereafter compared with model forecast output of European Centre for Medium-Range Weather Forecasts (ECMWF) Re-Analysis (ERA-I) and Japanese 55-year Reanalysis (JRA-55). Results indicated that a bias of 12–20 (5–13) mm/month in MERRA-2 (ERA-I) leads to the classification of the Sahel (14°N–20°N) as a moisture source during the West African Summer Monsoon. Comparisons between MERRA/MERRA-2 and prognostic fields from two ERA-I and JRA-55 indicated that the average P–E* in MERRA is 18.94 (52.24) mm/month which is less than ERA-I (JRA-55) over Guinea domain and 25.03 (4.53) mm/month greater than ERA-I (JRA-55) over the Sahel. In MERRA-2, average P–E* indicated 25.76 (59.06) mm/month which is less than ERA-I (JRA-55) over Guinea and 73.72 (94.22) mm/month less than ERA-I (JRA-55) over the Sahel respectively. These imbalances are due to adjustments in data assimilation methods, satellite calibration and observational data base. The change in convective P parameterization and increased re-evaporation of P in MERRA-2 is suggestive of the cause of positive biases in P and E. The little disagreements between MERRA/MERRA-2 and CRU precipitation highlights one of the major challenges associated with climate research in West Africa and major improvements in observation data and surface fluxes from reanalysis remain vital.
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References
Adler B, Kalthoff N, Gantner L (2011) Initiation of deep convection caused by land-surface inhomogeneities in West Africa: a modelled case study. Meteorol Atmos Phys 112(1–2):15–27. https://doi.org/10.1007/s00703-011-0131-2
Alonge CJ, Mohr KI, Tao W-K (2007) Numerical studies of wet versus dry soil regimes in the West African Sahel. J Hydrometeorol 8(1):102–116. https://doi.org/10.1175/JHM559.1
Ashouri H, Sorooshian S, Hsu K-L, Bosilovich MG, Lee J, Wehner MF, Collow A (2016) Evaluation of NASA’s MERRA precipitation product in reproducing the observed trend and distribution of extreme precipitation events in the United States. J Hydrometeorol 17(2):693–711. https://doi.org/10.1175/JHM-D-15-0097.1
Bashan A, Bartsch R, Kantelhardt JW, Havlin S (2008) Comparison of detrending methods for fluctuation analysis. Phys A Stat Mech Appl 387(21):5080–5090. https://doi.org/10.1016/j.physa.2008.04.023
Berg A, Lintner B, Findell K, Giannini A (2017) Soil moisture influence on seasonality and large-scale circulation in simulations of the West African monsoon. J Clim 30(7):2295–2317. https://doi.org/10.1175/JCLI-D-15-0877.1
Bielli S, Laprise R (2007) Time mean and variability of the scale-decomposed atmospheric water budget in a 25-year simulation of the Canadian Regional Climate Model over North America. Clim Dyn 29(7–8):763–777. https://doi.org/10.1007/s00382-007-0266-5
Bielli S, Roca R (2010) Scale decomposition of atmospheric water budget over West Africa during the monsoon 2006 from NCEP/GFS analyses. Clim Dyn 35(1):143–157. https://doi.org/10.1007/s00382-009-0597-5
Bock O, Guichard F, Janicot S, Lafore JP, Bouin MN, Sultan B (2007) Multiscale analysis of precipitable water vapor over Africa from GPS data and ECMWF analyses. Geophys Res Lett 34(9):1–6. https://doi.org/10.1029/2006GL028039
Boilley A, Wald L (2015) Comparison between meteorological re-analyses from ERA-Interim and MERRA and measurements of daily solar irradiation at surface. Renew Energy 75:135–143. https://doi.org/10.1016/j.renene.2014.09.042
Bosilovich M, Akella S, Coy L, Cullather R, Draper C, Gelaro R et al (2015) MERRA-2: Initial Evaluation of the Climate. NASA/TM-2015-104606/vol. 43, NASA Technical Report Series on Global Modeling and Data Assimilation, 43 (September), 139. https://doi.org/NASA/TM-2015-104606/Vol.43
Bosilovich M, Lucchesi R, Suarez M (2016) MERRA-2: file specification. GMAO Office Note No. 9 (Version 1.1), vol 7(7), p 73. http://gmao.gsfc.nasa.gov/pubs/office_notes. Accessed 25 Apr 2016
Brubaker KL, Entekhabi D, Eagleson PS (1993) Estimation of continental precipitation recycling. https://doi.org/10.1175/1520-0442(1993)006<1077:EOCPR>2.0.CO;2J Clim
Bryan F, Oort A (1984) Seasonal variation of the global water balance based on aerological data s dp. J Geophys Res 89(7):11717–11730
Chen D, Chen HW (2013) Using the Koppen classification to quantify climate variation and change: an example for 1901–2010. Environ Dev 6(1):69–79. https://doi.org/10.1016/j.envdev.2013.03.007
Cullather RI, Bosilovich MG (2011) The Moisture budget of the polar atmosphere in MERRA. J Clim 24(11):2861–2879. https://doi.org/10.1175/2010JCLI4090.1
Dee DP, Uppala SM, Simmons AJ, Berrisford P, Poli P, Kobayashi S et al (2011) The ERA-Interim reanalysis: Configuration and performance of the data assimilation system. Q J R Meteorol Soc 137(656):553–597. https://doi.org/10.1002/qj.828
Ebita A, Kobayashi S, Ota Y, Moriya M, Kumabe R, Onogi K et al (2011) The Japanese 55-year reanalysis “JRA-55”: an interim report. Sola 7:149–152. https://doi.org/10.2151/sola.2011-038
Fontaine B, Roucou P, Trzaska S (2003) Atmospheric water cycle and moisture fluxes in the West African monsoon: mean annual cycles and relationship using NCEP/NCAR reanalysis. Geophys Res Lett 30(3):1117. https://doi.org/10.1029/2002GL015834
Fuller JT, Amado A, van Emmerik REA, Hamill J, Buckley JD, Tsiros MD, Thewlis D (2016) The effect of footwear and footfall pattern on running stride interval long-range correlations and distributional variability. Gait Posture 44:137–142. https://doi.org/10.1016/j.gaitpost.2015.12.006
Gong C, Eltahir EAB (1996) Source region. Water Resour Res 32(10):3115–3121
Harada Y, Kamahori H, Kobayashi C, Endo H, Kobayashi S, Ota Y et al (2016) The JRA-55 reanalysis: representation of atmospheric circulation and climate variability. J Meteorol Soc Jpn Ser II 94(3):269–302. https://doi.org/10.2151/jmsj.2016-015
Hodges KI, Lee RW, Bengtsson L (2011) A comparison of extratropical cyclones in recent reanalyses ERA-Interim, NASA MERRA, NCEP CFSR, and JRA-25. J Clim 24(18):4888–4906. https://doi.org/10.1175/2011JCLI4097.1
Jakobson E, Vihma T (2010) Atmospheric moisture budget in the Arctic based on the ERA-40 reanalysis. Int J Climatol 30(14):2175–2194. https://doi.org/10.1002/joc.2039
Jin F, Kitoh A, Alpert P (2011) Climatological relationships among the moisture budget components and rainfall amounts over the Mediterranean based on a super-high-resolution climate model. J Geophys Res Atmos 116(9):1–13. https://doi.org/10.1029/2010JD014021
Karbou F, Rabier F, Lafore J-P, Redelsperger J-L, Bock O (2010) Global 4DVAR assimilation and forecast experiments using AMSU observations over land. Part II: impacts of assimilating surface-sensitive channels on the African monsoon during AMMA. Weather Forecast 25(1):20–36. https://doi.org/10.1175/2009WAF2222244.1
Kobayashi C, Iwasaki T (2016) Brewer-Dobson circulation diagnosed from JRA-55. J Geophys Res Atmos 121(4):1493–1510. https://doi.org/10.1002/2015JD023476
Kobayashi S, Ota Y, Harada Y, Ebita A, Moriya M, Onoda H et al (2015) The JRA-55 reanalysis: general specifications and basic characteristics. J Meteorol Soc Jpn Ser II 93(1):5–48. https://doi.org/10.2151/jmsj.2015-001
Lamb PJ (1983) West African water vapor variations between recent contrasting Subsaharan rainy seasons. Tellus A 35A(3):198–212. https://doi.org/10.1111/j.1600-0870.1983.tb00197.x
Lamb PJ, Portis DH, Zangvil A (2012) Investigation of large-scale atmospheric moisture budget and land surface interactions over U.S. Southern great plains including for CLASIC (June 2007). J Hydrometeorol 13(6):1719–1738. https://doi.org/10.1175/JHM-D-12-01.1
Lélé MI, Lamb PJ (2010) Variability of the Intertropical Front (ITF) and rainfall over the West African Sudan-Sahel zone. J Clim 23(14):3984–4004. https://doi.org/10.1175/2010JCLI3277.1
Lélé MI, Leslie LM (2016) Intraseasonal variability of low-level moisture transport over West Africa. Clim Dyn 47(11):3575–3591. https://doi.org/10.1007/s00382-016-3334-x
Lélé MI, Leslie LM, Lamb PJ (2015) Analysis of low-level atmospheric moisture transport associated with the West African monsoon. J Clim 28(11):4414–4430. https://doi.org/10.1175/JCLI-D-14-00746.1
Li H, Wang H, Yin Y (2012) Interdecadal variation of the West African summer monsoon during 1979–2010 and associated variability. Clim Dyn 39(12):2883–2894. https://doi.org/10.1007/s00382-012-1426-9
Li L, Li W, Barros AP (2013) Atmospheric moisture budget and its regulation of the summer precipitation variability over the Southeastern United States. Clim Dyn 41(3–4):613–631. https://doi.org/10.1007/s00382-013-1697-9
Liu WT, Xie X, Katsaros KB (2012) Observation of oceanic origin of Sahel precipitation from space. Remote Sens Environ 123:593–599. https://doi.org/10.1016/j.rse.2012.04.007
Liu W, Wang L, Zhou J, Li Y, Sun F, Fu G et al (2016) A worldwide evaluation of basin-scale evapotranspiration estimates against the water balance method. J Hydrol 538:82–95. https://doi.org/10.1016/j.jhydrol.2016.04.006
Mahajan DR, Dodamani BM (2015) Trend analysis of drought events over Upper Krishna Basin in Maharashtra. Aquat Procedia 4(Icwrcoe):1250–1257. https://doi.org/10.1016/j.aqpro.2015.02.163
Meynadier R, Bock O, Gervois S, Guichard F, Redelsperger J-L, Agustí-Panareda A, Beljaars A (2010a) West African Monsoon water cycle: 2. Assessment of numerical weather prediction water budgets. J Geophys Res 115(D19):D19107. https://doi.org/10.1029/2010JD013919
Meynadier R, Bock O, Guichard F, Boone A, Roucou P, Redelsperger JL (2010b) West African Monsoon water cycle: 1. A hybrid water budget data set. J Geophys Res 115(D19):D19106. https://doi.org/10.1029/2010JD013917
Molod A, Takacs L, Suarez M, Bacmeister J (2015) Development of the GEOS-5 atmospheric general circulation model: Evolution from MERRA to MERRA2. Geosci Model Dev 8(5):1339–1356. https://doi.org/10.5194/gmd-8-1339-2015
Nicholson SE, Grist JP (2003) The seasonal evolution of the atmospheric circulation over West Africa and equatorial Africa. J Clim 16(7):1013–1030. https://doi.org/10.1175/1520-0442(2003)016<1013:TSEOTA>2.0.CO;2
Nigam S, Ruiz-Barradas A (2006) Seasonal hydroclimate variability over North America in global and regional reanalyses and AMIP simulations: varied representation. J Clim 19(5):815–837. https://doi.org/10.1175/JCLI3635.1
Nnamchi HC, Li J (2011) Influence of the South Atlantic Ocean dipole on West African summer precipitation. J Clim 24(4):1184–1197. https://doi.org/10.1175/2010JCLI3668.1
Nnamchi HC, Li J, Anyadike RNC (2011) Does a dipole mode really exist in the South Atlantic Ocean? J Geophys Res Atmos 116(15):1–15. https://doi.org/10.1029/2010JD015579
Ntwali D, Mugisha E, Vuguziga F, Kakpa D (2017) Liquid and ice water content in clouds and their variability with temperature in Africa based on ERA-Interim, JRA-55, MERRA and ISCCP. Meteorol Atmos Phys 129(1):17–34. https://doi.org/10.1007/s00703-016-0447-z
Oguntunde PG, Abiodun BJ (2013) The impact of climate change on the Niger River Basin hydroclimatology, West Africa. Clim Dyn 40(1–2):81–94. https://doi.org/10.1007/s00382-012-1498-6
Parker DJ, Fink A, Janicot S, Ngamini JB, Douglas M, Afiesimama E et al (2008) The Amma radiosonde program and its implications for the future of atmospheric monitoring over Africa. Bull Am Meteor Soc 89(7):1015–1027. https://doi.org/10.1175/2008BAMS2436.1
Poli P, Dee D, Berrisford P (2009) Monitoring long data assimilation time series: a reanalysis perspective with Introduction : global reanalyses, (June), pp 15–17
Rasmusson EM (1966) Diurnal variations in the summer water vapor transport over North America. Water Resour Res 2(3):469–477
Reichle RH, Koster RD, De Lannoy GJM, Forman BA, Liu Q, Mahanama SPP, Toure A (2011) Assessment and enhancement of MERRA land surface hydrology estimates. J Clim 24(24):6322–6338. https://doi.org/10.1175/JCLI-D-10-05033.1
Rienecker MM, Suarez MJ, Bacmeister RT, Takacs J, Liu L et al (2008) The GEOS-5 Data Assimilation System Documentation of versions 5.0.1, 5.1.0, and 5.2.0. NASA GSFC Tech. Rep. Series on Global Modeling and Data Assimilation, NASA/TM-2007-104606, Vol. 27
Rienecker MM, Suarez MJ, Gelaro R, Todling R, Bacmeister J, Liu E et al (2011) MERRA: NASA’s modern-era retrospective analysis for research and applications. J Clim 24(14):3624–3648. https://doi.org/10.1175/JCLI-D-11-00015.1
Salih AAM, Zhang Q, Pausata FSR, Tjernstromg M (2016) Sources of Sahelian-Sudan moisture: insights from a moisture—tracing atmospheric model. J Geophys Res Atmos. https://doi.org/10.1002/2015JD024575
Salman SA, Shahid S, Ismail T, Chung E-S, Al-Abadi AM (2017) Long-term trends in daily temperature extremes in Iraq. Atmos Res 198(April):97–107. https://doi.org/10.1016/j.atmosres.2017.08.011
Semmler T, Jacob D, Schlünzen KH, Podzun R (2005) The water and energy budget of the Arctic atmosphere. J Clim 18(13):2515–2530. https://doi.org/10.1175/JCLI3414.1
Sen PK (1968). Estimates of the regression coefficient based on Kendall’s Tau. J Am Stat Assoc 63(324):1379–1389. https://doi.org/10.1080/01621459.1968.10480934
Serreze M, Barry R (2005) The Artic climate system, 2nd edn. Cambridge University Press, Cambridge. https://doi.org/10.1017/S0032247415000133
Shan N, Shi Z, Yang X, Gao J, Cai D (2015) Spatiotemporal trends of reference evapotranspiration and its driving factors in the Beijing-Tianjin Sand Source Control Project Region, China. Agric For Meteorol 200:322–333. https://doi.org/10.1016/j.agrformet.2014.10.008
Sheen KL, Smith DM, Dunstone NJ, Eade R, Rowell DP, Vellinga M (2017) Skilful prediction of Sahel summer rainfall on inter-annual and multi-year timescales. Nat Commun 8(May):14966. https://doi.org/10.1038/ncomms14966
Trenberth KE, Fasullo JT, Mackaro J (2011) Atmospheric moisture transports from ocean to land and global energy flows in reanalyses. J Clim 24(18):4907–4924. https://doi.org/10.1175/2011JCLI4171.1
Wang G, Kim Y, Wang D (2007) Quantifying the strength of soil moisture–precipitation coupling and its sensitivity to changes in surface water budget. J Hydrometeorol 8(3):551–570. https://doi.org/10.1175/JHM573.1
Wang H, Guan H, Gutiérrez-Jurado HA, Simmons CT (2014a) Examination of water budget using satellite products over Australia. J Hydrol 511:546–554. https://doi.org/10.1016/j.jhydrol.2014.01.076
Wang X, Liu H, Zhang L, Zhang R (2014b) Climate change trend and its effects on reference evapotranspiration at Linhe Station, Hetao Irrigation District. Water Sci Eng 7(3):250–266. https://doi.org/10.3882/j.issn.1674-2370.2014.03.002
Wang Y, Zhou D, Bunde A, Havlin S (2016). Testing reanalysis data sets in Antarctica: trends, persistence properties, and trend significance. J Geophys Res Atmos 121(21):12839–12855. https://doi.org/10.1002/2016JD024864
Yang YH, Lee GB, Shon SH, Kim JY (2015) Assessment of long-term trend for environmental radioactivity around Wolsong nuclear power plant in Korea. Ann Nucl Energy 77:231–237. https://doi.org/10.1016/j.anucene.2014.09.061
Zangvil A, Portis DH, Lamb PJ (2001) Investigation of the large-scale atmospheric moisture field over the midwestern United States in relation to summer precipitation. Part I: Relationships between moisture budget components on different timescales. J Clim 14(4):582–597. https://doi.org/10.1175/1520-0442(2001)014<0582:IOTLSA>2.0.CO;2
Zheng X, Eltahir EAB (1998) The role of vegetation in the dynamics of west African monsoons. J Clim 11:2078–2096. https://doi.org/10.1175/1520-0442-11.8.2078
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We are grateful to anonymous reviewers and the Editor for their valuable comments and suggestions, which have greatly, helped us to improve the original version of the manuscript. This work was supported by the National Key Research and Development Program of China (no. 2016YFD0300101), the Natural Science Foundation of China (no. 31571565, no. 31671585),CAS Strategic Priority Research Program ( No. XDA19030402), Open Fund of Key Lab. of Urban Land Resources Monitoring and Simulation, Ministry of Land and Resources (no. KF-2016-02-026), “Taishan Scholar” Project of Shandong Province, and Key Basic Research Project of Shandong Natural Science Foundation of China (no. ZR2017ZB0422).
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Igbawua, T., Zhang, J., Yao, F. et al. Assessment of moisture budget over West Africa using MERRA-2’s aerological model and satellite data. Clim Dyn 52, 83–106 (2019). https://doi.org/10.1007/s00382-018-4126-2
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DOI: https://doi.org/10.1007/s00382-018-4126-2