A multi-sensor climatological view of double ITCZs over the Indian Ocean

Kumar, M. R. Ramesh; Devasthale, Abhay; Levy, Gad; Sankar, Syam; Bakan, Stephan; Graßl, Hartmut

doi:10.1080/01431161.2011.625056

Cited by 3 publications

(3 citation statements)

References 30 publications

(47 reference statements)

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“…The estimated width span roughly a band of 9308. In winter, the detection of the humidity maximum is more difficult due to the double structure of the distribution over the Pacific Ocean resembling the double ITCZ structure (Zhang, 2001;Gu et al, 2005;Kumar et al, 2011). To illustrate this problem, the fields of (a) specific humidity, (c) daily precipitation and (e) the vertical wind component are shown in Fig.…”

Section: Climatology Trends and The Relation To The Itczmentioning

confidence: 99%

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Lower-tropospheric humidity: climatology, trends and the relation to the ITCZ

Läderach

Raible

2013

Tellus A: Dynamic Meteorology and Oceanography

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A B S T R A C TThe tropical region is an area of maximum humidity and serves as the major humidity source of the globe. Among other phenomena, it is governed by the so-called Inter-Tropical Convergence Zone (ITCZ) which is commonly defined by converging low-level winds or enhanced precipitation. Given its importance as a humidity source, we investigate the humidity fields in the tropics in different reanalysis data sets, deduce the climatology and variability and assess the relationship to the ITCZ. Therefore, a new analysis method of the specific humidity distribution is introduced which allows detecting the location of the humidity maximum, the strength and the meridional extent. The results show that the humidity maximum in boreal summer is strongly shifted northward over the warm pool/Asia Monsoon area and the Gulf of Mexico. These shifts go along with a peak in the strength in both areas; however, the extent shrinks over the warm pool/Asia Monsoon area, whereas it is wider over the Gulf of Mexico. In winter, such connections between location, strength and extent are not found. Still, a peak in strength is again identified over the Gulf of Mexico in boreal winter. The variability of the three characteristics is dominated by inter-annual signals in both seasons. The results using ERA-interim data suggest a positive trend in the Gulf of Mexico/Atlantic region from 1979 to 2010, showing an increased northward shift in the recent years. Although the trend is only weakly confirmed by the results using MERRA reanalysis data, it is in phase with a trend in hurricane activity Á a possible hint of the importance of the new method on hurricanes. Furthermore, the position of the maximum humidity coincides with one of the ITCZ in most areas. One exception is the western and central Pacific, where the area is dominated by the double ITCZ in boreal winter. Nevertheless, the new method enables us to gain more insight into the humidity distribution, its variability and the relationship to ITCZ characteristics.

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Section: Climatology Trends and The Relation To The Itczmentioning

confidence: 99%

“…Keep in mind that we vertically average over the levels 850, 775, 700, 600 and 500 hPa which matches the height of the SAL (e.g. Prospero and Carlson, 1972;Diaz et al, 1976;Lothon et al, 2008). The long-term mean of the width is more difficult to interpret (Fig.…”

Section: Climatology Trends and The Relation To The Itczmentioning

confidence: 99%

Lower-tropospheric humidity: climatology, trends and the relation to the ITCZ

Läderach

Raible

2013

Tellus A: Dynamic Meteorology and Oceanography

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“…They can search all locations in an image rather than a specific latitude band, and they can be applied to different data sets and locations without modification; moreover, the MRA makes it unnecessary to define a feature using preset quantitative criteria. Levy [46], Geiss et al [47], and Levy et al [48] applied those methods to 30-year record of daily TOA observations and other satellite ancillary data, including different satellite data analyzed by Kumar et al [49] and latent and sensible heat flux over the global oceans retrieved from remote sensors and evaluated by Bentamy et al [50], showing some skills in predicting breaks in the monsoon associated with intra-seasonal drought conditions, as defined by a monsoon break index developed from precipitation data by Kumar and Dessai [51].…”

Section: Overview Of Contributionsmentioning

confidence: 99%

Advances in Land–Ocean Heat Fluxes Using Remote Sensing

et al. 2022

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Advanced remote sensing technology has provided spatially distributed variables for estimating land–ocean heat fluxes, allowing for practical applications in drought monitoring, water resources management, and climate assessment. This Special Issue includes several research studies using state-of-the-art algorithms for estimating downward longwave radiation, surface net radiation, latent heat flux, columnar atmospheric water vapor, fractional vegetation cover, and grassland aboveground biomass. This Special Issue intends to help scientists involved in global change research and practices better comprehend the strengths and disadvantages of the application of remote sensing for monitoring surface energy, water, and carbon budgets. The studies published in this Special Issue can be applied by natural resource management communities to enhance the characterization and assessment of land–ocean biophysical variables, as well as for more accurately partitioning heat flux into soil and vegetation based on the existing and forthcoming remote sensing data.

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The use of automated feature extraction for diagnosing double inter-tropical convergence zones

Geiss

Levy

2012

Computers & Geosciences

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A multi-sensor climatological view of double ITCZs over the Indian Ocean

Cited by 3 publications

References 30 publications

Lower-tropospheric humidity: climatology, trends and the relation to the ITCZ

Lower-tropospheric humidity: climatology, trends and the relation to the ITCZ

Advances in Land–Ocean Heat Fluxes Using Remote Sensing

The use of automated feature extraction for diagnosing double inter-tropical convergence zones

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