On the water and energy cycles in the Tropics

Roca, Rémy; Bergès, Jean; Brogniez, Hélène; Capderou, Michel; Chambon, Philippe; Chomette, Olivier; Cloché, Sophie; Fiolleau, Thomas; Jobard, I.; Lemond, Julien; Ly, Mohamed; Picon, Laurence; Raberanto, Patrick; Szantaï, André; Viollier, M.

doi:10.1016/j.crte.2010.01.003

Cited by 33 publications

(25 citation statements)

References 70 publications

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“…This figure also shows two 1D profiles through selected pseudoradii. We can instantly deduce that latent heating is the larger of the two diabatic heat sources in MDs, as it is in the tropics in general (Roca et al ): the intense convective rain south of centre leads to a composite mean latent heating rate of as much as 1.8 K h −1 in the mid‐troposphere, supporting the warm core found there in other studies (e.g. Godbole, , and many others).…”

Section: Composite Structuresupporting

confidence: 85%

The spatiotemporal structure of precipitation in Indian monsoon depressions

Hunt

Turner

Parker

2016

Quart J Royal Meteoro Soc

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Indian monsoon depressions are synoptic-scale events typically spun up in the Bay of Bengal. They usually last 4-6 days, during which they propagate northwestward across the Indian subcontinent before dissipating over northwest India or Pakistan. They can have a significant effect on monsoon precipitation, particularly in primarily agrarian northern India, and therefore quantifying their structure and variability and evaluating these in numerical weather prediction (NWP) models and general circulation models (GCMs) is of critical importance. In this study, satellite data from CloudSat and recently concluded

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Section: Composite Structuresupporting

confidence: 85%

The spatiotemporal structure of precipitation in Indian monsoon depressions

Hunt

Turner

Parker

2016

Quart J Royal Meteoro Soc

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“…The MT mission is described at length in various references (Desbois et al, ; Roca et al, ; ) and here only its salient features are briefly recalled. The mission is jointly built by the Indian Space Research Organization (ISRO) and Centre National d'Études Spatiales (CNES) and was launched on 12 October 2011 from Sri Haricota in India on a unique orbit with a 20° inclination to the Equator to enhance the sampling of the tropical regions (Capderou, ).…”

Section: Datamentioning

confidence: 99%

Quantifying the contribution of the Megha‐Tropiques mission to the estimation of daily accumulated rainfall in the Tropics

Roca

Taburet

Lorant

et al. 2018

Quart J Royal Meteoro Soc

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Satellite estimation of accumulated precipitation is an important facet of the study of the tropical water cycle. An advanced data merging approach using infrared geostationary imagery and microwave constellation based instantaneous rain rate estimates has been implemented in the framework of the Megha‐Tropiques and Global Precipitation Measurements missions. The Tropical Amount of Rainfall with Estimation of ERors (TAPEER) algorithm has been tailored to account for the loss of the MADRAS conical scanning radiometer by using the SAPHIR sounder rainfall detection capability, thanks to a novel two‐constellation implementation of the algorithm. A new bias correction module based on the TRMM PR observations is also presented. The performances of this new version of the product are reviewed with emphasis on West Africa. In particular, using data‐denial experiments, the contribution of SAPHIR data to the rainfall daily accumulation is quantified for various configurations of the microwave constellation and various algorithmic parameter selections. The results show that the daily accumulation statistics are well improved when SAPHIR is taken into the constellation. The improvements can be quantified using bulk statistics but are more evident following a frequency analysis. The pattern of the impact is a complex convolution of rainfall occurrence and of the Megha‐Tropiques mission original sampling. Over the 20°N–20°S belt, in zonal mean, the inclusion of SAPHIR data alters the daily accumulation substantially (more than 50% of the daily accumulation) more than 10% of the time and more than 20% when conditioned upon rainfall. Under both metrics, the improvement is majored in the 12°–17° latitude band where the Megha‐Tropiques mission sampling is at its maximum.

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“…Understanding the atmospheric water cycle is critical for both weather and climate monitoring. The complexity of mechanisms governing the distribution of water vapor and clouds, and the range of scales involved require long-term observations with high temporal and spatial resolutions (Roca et al 2010). Satellite observations can provide information on atmospheric water at the global scale.…”

Section: Introductionmentioning

confidence: 99%

An Assessment of SAPHIR Calibration Using Quality Tropical Soundings

Clain

Brogniez

Payne

et al. 2015

Journal of Atmospheric and Oceanic Technology

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The Sondeur Atmosphérique du Profil d'Humidité Intertropicale par Radiométrie (SAPHIR) instrument on board the Megha-Tropiques (MT) platform is a cross-track, multichannel microwave humidity sounder with six channels near the 183.31-GHz water vapor absorption line, a maximum scan angle of 42.968 (resulting in a maximum incidence angle of 50.78), a 1700-km-wide swath, and a footprint resolution of 10 km at nadir. SAPHIR L1A2 brightness temperature (BT) observations have been compared to BTs simulated by the radiative transfer model (RTM) Radiative Transfer for the Television and Infrared Observation Satellite (TIROS) Operational Vertical Sounder (RTTOV-10), using in situ measurements from radiosondes as input. Selected radiosonde humidity observations from the Cooperative Indian Ocean Experiment on Intraseasonal Variability in the Year (CINDY)-Dynamics of the Madden-Julian Oscillation (DYNAMO) campaign (September 2011-March 2012) were spatiotemporally collocated with MT overpasses. Although several sonde systems were used during the campaign, all of the sites selected for this study used the Vaisala RS92-SGPD system and were chosen in order to avoid discrepancies in data quality and biases.To interpret the results of the comparison between the sensor data and the RTM simulations, uncertainties associated with the data processing must be propagated throughout the evaluation. The magnitude of the bias was found to be dependent on the observing channel, increasing from 0.18 K for the 183.31 6 0.2-GHz channel to 2.3 K for the 183.31 6 11-GHz channel. Uncertainties and errors that could impact the BT biases were investigated. These can be linked to the RTM input and design, the radiosonde observations, the chosen methodology of comparison, and the SAPHIR instrument itself.

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On the water and energy cycles in the Tropics

Cited by 33 publications

References 70 publications

The spatiotemporal structure of precipitation in Indian monsoon depressions

The spatiotemporal structure of precipitation in Indian monsoon depressions

Quantifying the contribution of the Megha‐Tropiques mission to the estimation of daily accumulated rainfall in the Tropics

An Assessment of SAPHIR Calibration Using Quality Tropical Soundings

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