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_c61770 _d61762 |
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| 001 | 61770 | ||
| 003 | MX-TxCIM | ||
| 005 | 20200430192601.0 | ||
| 008 | 200423s2010||||xxu|||p|op||||00||0|eng|d | ||
| 022 | _a1558-8424 | ||
| 022 | _a1558-8432 (Online) | ||
| 024 | 8 | _ahttps://doi.org/10.1175/2009JAMC2318.1 | |
| 040 | _aMX-TxCIM | ||
| 041 | _aeng | ||
| 100 | 1 |
_aRoca, R. _912654 |
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| 245 | 1 | 0 | _aComparing satellite and surface rainfall products over West Africa at meteorologically relevant scales during the AMMA campaign using error estimates |
| 260 |
_aUSA : _bAmerican Meteorological Society, _c2010. |
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| 500 | _aPeer review | ||
| 520 | _aMonsoon rainfall is central to the climate of West Africa, and understanding its variability is a challenge for which satellite rainfall products could be well suited to contribute to. Their quality in this region has received less attention than elsewhere. The focus is set on the scales associated with atmospheric variability, and a meteorological benchmark is set up with ground-based observations from the African Monsoon Multidisciplinary Analysis (AMMA) program. The investigation is performed at various scales of accumulation using four gauge networks. The seasonal cycle is analyzed using 10-day-averaged products, the synoptic-scale variability is analyzed using daily means, and the diurnal cycle of rainfall is analyzed at the seasonal scale using a composite and at the diurnal scale using 3-hourly accumulations. A novel methodology is introduced that accounts for the errors associated with the areal–time rainfall averages. The errors from both satellite and ground rainfall data are computed using dedicated techniques that come down to an estimation of the sampling errors associated to these measurements. The results show that the new generation of combined infrared–microwave (IR–MW) satellite products is describing the rain variability similarly to ground measurements. At the 10-day scale, all products reveal high regional and seasonal skills. The day-to-day comparison indicates that some products perform better than others, whereas all of them exhibit high skills when the spectral band of African easterly waves is considered. The seasonal variability of the diurnal scale as well as its relative daily importance is only captured by some products. Plans for future extensive intercomparison exercises are briefly discussed. | ||
| 546 | _aText in English | ||
| 650 | 7 |
_2AGROVOC _912655 _aSatellite observation |
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| 650 | 7 |
_2AGROVOC _91234 _aRain |
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| 650 | 7 |
_2AGROVOC _912656 _aMicrowave radiation |
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| 650 | 7 |
_2AGROVOC _912657 _aInfrared radiation |
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| 651 | 7 |
_2AGROVOC _91316 _aAfrica |
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| 700 | 1 |
_912658 _aChambon, P. |
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| 700 | 1 |
_912659 _aJobard, I. |
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| 700 | 1 |
_912660 _aKirstetter, P.E. |
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| 700 | 1 |
_912661 _aGosset, M. |
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| 700 | 1 |
_912662 _aBergès, J.C. |
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| 773 | 0 |
_tJournal of Applied Meteorology and Climatology _gv. 49, no. 4, p. 715-731 _dUSA : American Meteorological Society, 2010. _x1558-8424 |
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| 942 |
_cJA _n0 _2ddc |
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