Abstract: MODIS (Moderate Resolution Imaging Spectroradiometer) on board TERRA weekly composite m... more Abstract: MODIS (Moderate Resolution Imaging Spectroradiometer) on board TERRA weekly composite mean products of sea surface temperature (SST) and chlorophyll-a, and modeled ocean net primary productivity with a spatial resolution of 4.63 km and altimeter derived sea surface height (SSH) data are used to study the changes in the primary productivity (PP) induced by the November-December 2000 tropical cyclone in the Bay of Bengal.
ABSTRACT The monsoon based climate system, diverse land use and land cover distribution and cultu... more ABSTRACT The monsoon based climate system, diverse land use and land cover distribution and cultural practices poses complex issues in monitoring, assessment and simulation of Indian carbon cycle. Several studies reported lack of spatially and temporally consistent databases, need for calibration and validation of models, and development of national frame work to maintain consistency and completeness in efforts and reduction of uncertainty.
Abstract (with Keywords): In recent years attention of the cyclone forecasters has been concentra... more Abstract (with Keywords): In recent years attention of the cyclone forecasters has been concentrated to improve the intensity predictions. Tropical Cyclone Heat Potential (TCHP) is one oceanographic parameter that fuels the cyclone through the available ocean thermal energy. The best approach to compute this parameter is from in situ profiles.
Fig. 1.(a) Sediment plume and geostrophic currents in the study area on (b) 2 March 2003,(c) 12 M... more Fig. 1.(a) Sediment plume and geostrophic currents in the study area on (b) 2 March 2003,(c) 12 March 2003,(d) 1 January 2003,(e) 29 June 1999, and (f) 28 April 2005. CC means cyclonic circulation; SAC means semianticyclonic circulation. Original color image appears at the back of this volume.
Abstract It is well recognized that sea surface temperature (SST) plays a dominant role in the fo... more Abstract It is well recognized that sea surface temperature (SST) plays a dominant role in the formation and intensification of tropical cyclones. A number of observational/empirical studies were conducted at different basins to investigate the influence of SST on the intensification of tropical cyclones and in turn, modification in SST by the cyclone itself. Although a few modeling studies confirmed the sensitivity of model simulation/forecast to SST, it is not well quantified, particularly for Bay of Bengal cyclones.
Tropical cyclone heat potential (TCHP) is an important ocean parameter influencing cyclones and h... more Tropical cyclone heat potential (TCHP) is an important ocean parameter influencing cyclones and hurricanes. The best approach for computing TCHP is to use in situ measurements. However, since in situ data have both spatial and temporal limitations, there is a need for satellite-based estimations. One potential solution is to use sea surface height anomalies (SSHAs) from altimeter observations. However, any estimation derived from satellite measurements requires extensive regional validation. In this letter, we compare ...
Abstract: The National Institute of Oceanography (NIO), Goa, India has been taking a leading role... more Abstract: The National Institute of Oceanography (NIO), Goa, India has been taking a leading role in the in situ data collection and analysis for several years. In this atlas the temperature profiles collected by a dedicated team of NIO scientists during the Indian XBT Program were used to plot the sub-surface thermal structures of the Indian Ocean for 1993 to 2003. Since these in situ measurements are just along the ship tracks, sea surface height observations from the TOPEX altimeter were also plotted over a broader area so that a synoptic view of ...
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, VOL. 10, NO. 4, JULY 2013, Jul 2013
Abstract—In most cyclone prediction models, sea surface temperature (SST) is the only oceanograph... more Abstract—In most cyclone prediction models, sea surface temperature (SST) is the only oceanographic input, even though
storms are known to be impacted by the thermal energy available
through oceanic heat content, not just by SST alone. In the tropical Indian Ocean (TIO; 30◦ S–30◦ N, 30–120◦ E), there are no studies that examine the relationship between instantaneous cyclone intensity (CI) and SST as a function of time. Here, we explore that relationship using SST data from the Tropical Rainfall Measuring Mission Microwave Imager and CI data (maximum sustained winds) from the Joint Typhoon Warning Centre. We find that out of 75 TIO cyclones studied during 1998–2011, more than 50% of the cyclones have no significant correlation between CI and SST. The numbers having significant negative (positive) correlations are 31 (3), 13 (10), and 17 (14) with SST leading CI by one, two, and three days, respectively. These results demonstrate that SST is not a useful indicator of CI in the TIO.
Abstract: MODIS (Moderate Resolution Imaging Spectroradiometer) on board TERRA weekly composite m... more Abstract: MODIS (Moderate Resolution Imaging Spectroradiometer) on board TERRA weekly composite mean products of sea surface temperature (SST) and chlorophyll-a, and modeled ocean net primary productivity with a spatial resolution of 4.63 km and altimeter derived sea surface height (SSH) data are used to study the changes in the primary productivity (PP) induced by the November-December 2000 tropical cyclone in the Bay of Bengal.
ABSTRACT The monsoon based climate system, diverse land use and land cover distribution and cultu... more ABSTRACT The monsoon based climate system, diverse land use and land cover distribution and cultural practices poses complex issues in monitoring, assessment and simulation of Indian carbon cycle. Several studies reported lack of spatially and temporally consistent databases, need for calibration and validation of models, and development of national frame work to maintain consistency and completeness in efforts and reduction of uncertainty.
Abstract (with Keywords): In recent years attention of the cyclone forecasters has been concentra... more Abstract (with Keywords): In recent years attention of the cyclone forecasters has been concentrated to improve the intensity predictions. Tropical Cyclone Heat Potential (TCHP) is one oceanographic parameter that fuels the cyclone through the available ocean thermal energy. The best approach to compute this parameter is from in situ profiles.
Fig. 1.(a) Sediment plume and geostrophic currents in the study area on (b) 2 March 2003,(c) 12 M... more Fig. 1.(a) Sediment plume and geostrophic currents in the study area on (b) 2 March 2003,(c) 12 March 2003,(d) 1 January 2003,(e) 29 June 1999, and (f) 28 April 2005. CC means cyclonic circulation; SAC means semianticyclonic circulation. Original color image appears at the back of this volume.
Abstract It is well recognized that sea surface temperature (SST) plays a dominant role in the fo... more Abstract It is well recognized that sea surface temperature (SST) plays a dominant role in the formation and intensification of tropical cyclones. A number of observational/empirical studies were conducted at different basins to investigate the influence of SST on the intensification of tropical cyclones and in turn, modification in SST by the cyclone itself. Although a few modeling studies confirmed the sensitivity of model simulation/forecast to SST, it is not well quantified, particularly for Bay of Bengal cyclones.
Tropical cyclone heat potential (TCHP) is an important ocean parameter influencing cyclones and h... more Tropical cyclone heat potential (TCHP) is an important ocean parameter influencing cyclones and hurricanes. The best approach for computing TCHP is to use in situ measurements. However, since in situ data have both spatial and temporal limitations, there is a need for satellite-based estimations. One potential solution is to use sea surface height anomalies (SSHAs) from altimeter observations. However, any estimation derived from satellite measurements requires extensive regional validation. In this letter, we compare ...
Abstract: The National Institute of Oceanography (NIO), Goa, India has been taking a leading role... more Abstract: The National Institute of Oceanography (NIO), Goa, India has been taking a leading role in the in situ data collection and analysis for several years. In this atlas the temperature profiles collected by a dedicated team of NIO scientists during the Indian XBT Program were used to plot the sub-surface thermal structures of the Indian Ocean for 1993 to 2003. Since these in situ measurements are just along the ship tracks, sea surface height observations from the TOPEX altimeter were also plotted over a broader area so that a synoptic view of ...
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, VOL. 10, NO. 4, JULY 2013, Jul 2013
Abstract—In most cyclone prediction models, sea surface temperature (SST) is the only oceanograph... more Abstract—In most cyclone prediction models, sea surface temperature (SST) is the only oceanographic input, even though
storms are known to be impacted by the thermal energy available
through oceanic heat content, not just by SST alone. In the tropical Indian Ocean (TIO; 30◦ S–30◦ N, 30–120◦ E), there are no studies that examine the relationship between instantaneous cyclone intensity (CI) and SST as a function of time. Here, we explore that relationship using SST data from the Tropical Rainfall Measuring Mission Microwave Imager and CI data (maximum sustained winds) from the Joint Typhoon Warning Centre. We find that out of 75 TIO cyclones studied during 1998–2011, more than 50% of the cyclones have no significant correlation between CI and SST. The numbers having significant negative (positive) correlations are 31 (3), 13 (10), and 17 (14) with SST leading CI by one, two, and three days, respectively. These results demonstrate that SST is not a useful indicator of CI in the TIO.
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Papers by MM Ali
storms are known to be impacted by the thermal energy available
through oceanic heat content, not just by SST alone. In the tropical Indian Ocean (TIO; 30◦ S–30◦ N, 30–120◦ E), there are no studies that examine the relationship between instantaneous cyclone intensity (CI) and SST as a function of time. Here, we explore that relationship using SST data from the Tropical Rainfall Measuring Mission Microwave Imager and CI data (maximum sustained winds) from the Joint Typhoon Warning Centre. We find that out of 75 TIO cyclones studied during 1998–2011, more than 50% of the cyclones have no significant correlation between CI and SST. The numbers having significant negative (positive) correlations are 31 (3), 13 (10), and 17 (14) with SST leading CI by one, two, and three days, respectively. These results demonstrate that SST is not a useful indicator of CI in the TIO.
storms are known to be impacted by the thermal energy available
through oceanic heat content, not just by SST alone. In the tropical Indian Ocean (TIO; 30◦ S–30◦ N, 30–120◦ E), there are no studies that examine the relationship between instantaneous cyclone intensity (CI) and SST as a function of time. Here, we explore that relationship using SST data from the Tropical Rainfall Measuring Mission Microwave Imager and CI data (maximum sustained winds) from the Joint Typhoon Warning Centre. We find that out of 75 TIO cyclones studied during 1998–2011, more than 50% of the cyclones have no significant correlation between CI and SST. The numbers having significant negative (positive) correlations are 31 (3), 13 (10), and 17 (14) with SST leading CI by one, two, and three days, respectively. These results demonstrate that SST is not a useful indicator of CI in the TIO.