I am an atmospheric physics Ph.D. student at the University of Maryland, Baltimore County. I am working on dust aerosol properties and their radiative impact using satellite remote sensing. Welcome to reach out to me!
MODIS (Moderate Resolution Imaging Spectroradiometer) is a key instrument onboard NASA’s Terra (l... more MODIS (Moderate Resolution Imaging Spectroradiometer) is a key instrument onboard NASA’s Terra (launched in 1999) and Aqua (launched in 2002) satellite missions as part of the more extensive Earth Observation System (EOS). By measuring the reflection and emission by the Earth-Atmosphere system in 36 spectral bands from the visible to thermal infrared with near-daily global coverage and high-spatial-resolution (250 m ~ 1 km at nadir), MODIS is playing a vital role in developing validated, global, interactive Earth system models. MODIS products are processed into three levels, i.e., Level-1 (L1), Level-2 (L2) and Level-3 (L3). To shift the current static and “one-size-fits-all” data provision method of MODIS products, in this paper, we propose a service-oriented flexible and efficient MODIS aggregation framework. Using this framework, users only need to get aggregated MODIS L3 data based on their unique requirements and the aggregation can run in parallel to achieve a speedup. The exp...
Deep convective clusters (DCCs) constitute a complex regime with a variety of types of cloud para... more Deep convective clusters (DCCs) constitute a complex regime with a variety of types of cloud parameter-ization in multiple global climate models (GCMs). This study develops a method to identify tropical DCCs and presents regional differences in cloud occurrence, surface precipitation and a vertical survey of ice water content among separated DCCs, connected DCCs and mesoscale convective systems (MCSs) determined by collocating data from MODIS, AMSR-E, CPR and CALIOP instruments on board A-Train satellites. The results reveal that separated DCCs and MCSs occur frequently over East Asia, while connected DCCs are more common over the warm pool of the West Pacific in June-August and over South America in December-February. Higher surface convective precipitation rates occur more frequently in MCSs than in separated and connected DCCs in non-monsoon areas. However, connected DCCs have a large ice water content (IWC) at 10-15 km similar to that of MCSs, and these clusters are more intense than those in separated DCCs. Remarkably large anvil-stratiform clouds connected with multiple deep convective cores in connected DCCs can be easily confused with MCSs if the cloud top brightness temperature in the horizontal view is the only parameter being considered. Combined observational data of surface precipitation of DCCs will be helpful for distinguishing connected DCCs and MCSs.
MODIS (Moderate Resolution Imaging Spectroradiometer) is a key instrument onboard NASA’s Terra (l... more MODIS (Moderate Resolution Imaging Spectroradiometer) is a key instrument onboard NASA’s Terra (launched in 1999) and Aqua (launched in 2002) satellite missions as part of the more extensive Earth Observation System (EOS). By measuring the reflection and emission by the Earth-Atmosphere system in 36 spectral bands from the visible to thermal infrared with near-daily global coverage and high-spatial-resolution (250 m ~ 1 km at nadir), MODIS is playing a vital role in developing validated, global, interactive Earth system models. MODIS products are processed into three levels, i.e., Level-1 (L1), Level-2 (L2) and Level-3 (L3). To shift the current static and “one-size-fits-all” data provision method of MODIS products, in this paper, we propose a service-oriented flexible and efficient MODIS aggregation framework. Using this framework, users only need to get aggregated MODIS L3 data based on their unique requirements and the aggregation can run in parallel to achieve a speedup. The exp...
Deep convective clusters (DCCs) constitute a complex regime with a variety of types of cloud para... more Deep convective clusters (DCCs) constitute a complex regime with a variety of types of cloud parameter-ization in multiple global climate models (GCMs). This study develops a method to identify tropical DCCs and presents regional differences in cloud occurrence, surface precipitation and a vertical survey of ice water content among separated DCCs, connected DCCs and mesoscale convective systems (MCSs) determined by collocating data from MODIS, AMSR-E, CPR and CALIOP instruments on board A-Train satellites. The results reveal that separated DCCs and MCSs occur frequently over East Asia, while connected DCCs are more common over the warm pool of the West Pacific in June-August and over South America in December-February. Higher surface convective precipitation rates occur more frequently in MCSs than in separated and connected DCCs in non-monsoon areas. However, connected DCCs have a large ice water content (IWC) at 10-15 km similar to that of MCSs, and these clusters are more intense than those in separated DCCs. Remarkably large anvil-stratiform clouds connected with multiple deep convective cores in connected DCCs can be easily confused with MCSs if the cloud top brightness temperature in the horizontal view is the only parameter being considered. Combined observational data of surface precipitation of DCCs will be helpful for distinguishing connected DCCs and MCSs.
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Papers by Jianyu Zheng