i
Observed Correlation between Aerosol and Cloud Base Height for Low Clouds at Baltimore and New York, United States
-
2018
Source: Atmos., 9(4), 1-9
[PDF-4.05 MB]
Details:
-
Journal Title:Atmosphere
-
Personal Author:
-
NOAA Program & Office:
-
Description:The correlation between aerosol particulate matter with aerodynamic diameter ≤2.5 μm (PM2.5) and cloud base height (CBH) of low clouds (CBH lower than 1.5 km a.g.l.) at Baltimore and New York, United States, for an 8 year period (2007–2014) was investigated using information from the Automated Surface Observing System (ASOS) observations and collocated U.S. Environmental Protection Agency (EPA) observations. The lifting condensation level (LCL) heights were calculated and compared with the CBH. The monthly average observations show that PM2.5 decreases from 2007 to 2014 while there is no significant trend found for CBH and LCL. The variability of the LCL height agrees well with CBH but LCL height is systematically lower than CBH (~180 m lower). There was a significant negative correlation found between CBH–LCL and PM2.5. All of the cloud cases were separated into polluted and clean conditions based on the distribution of PM2.5 values. The distributions of CBH–LCL in the two groups show more cloud cases with smaller CBH–LCL in polluted conditions than in clean conditions.
-
Source:Atmos., 9(4), 1-9
-
Document Type:
-
Funding:
-
Place as Subject:
-
Rights Information:CC BY
-
Compliance:Submitted
-
Main Document Checksum:urn:sha256:8f9bc619bedb6eb98efb740556248beb9aa2abce7edd031261a4bd04ac8c51bb
-
File Type:
Supporting Files
-
No Additional Files
More +
Related Documents
-
Personal Author:Becker, Elizabeth ;Forney, Karin...2016 | Remote Sens. 8(2), 1-26Description:Species distribution models are now widely used in conservation and management to predict suitable habitat for protected marine species. The primary s...2016 | Remote Sens. 8(1), 1-20Description:Moderate Resolution Imaging Spectroradiometers (MODIS) and Visible Infrared Imaging Radiometer Suite (VIIRS) radiometers, flown onboard Terra/Aqua and...Personal Author:Obata, Kenta ;Miura, Tomoaki...2016 | Remote Sens. 8(1), 1-17Description:In this study, the Visible Infrared Imaging Radiometer Suite (VIIRS) Enhanced Vegetation Index (EVI) was spectrally cross-calibrated with the Moderate...Personal Author:Heidinger, Andrew ;Foster, Michael...2016 | Remote Sens. 8(6), 1-18Description:An important component of the AVHRR PATMOS-x climate date record (CDR)—or any satellite cloud climatology—is the performance of its cloud detectio...Personal Author:Liang, Xingming ;Ignatov, Alexander...2016 | Remote Sens. 8(3), 1-13Description:Clear-sky brightness temperatures (BT) in five bands of the Advanced Himawari Imager (AHI; flown onboard Himawari-8 satellite) centered at 3.9, 8.6, 1...Personal Author:Claverie, Martin ;Matthews, Jessica...2016 | Remote Sens. 8(3), 1-12Description:In-land surface models, which are used to evaluate the role of vegetation in the context of global climate change and variability, LAI and FAPAR play ...Algorithm Development of Temperature and Humidity Profile Retrievals for Long-Term HIRS ObservationsCitePersonal Author:Shi, Lei ;Matthews, Jessica...2016 | Remote Sens. 8(4), 1-17Description:A project for deriving temperature and humidity profiles from High-resolution Infrared Radiation Sounder (HIRS) observations is underway to build a lo...2016 | Remote Sens. 8(9), 1-17Description:In this study, six Arctic sea ice thickness products are compared: the AVHRR Polar Pathfinder-extended (APP-x), ICESat, CryoSat-2, SMOS, NASA IceBridg...Personal Author:Adler, Robert ;Sapiano, Mathew...2018 | Atmos., 9(4), 1-14Description:The new Version 2.3 of the Global Precipitation Climatology Project (GPCP) Monthly analysis is described in terms of changes made to improve the homog...Sensor Stability for SST (3S): Toward Improved Long-Term Characterization of AVHRR Thermal BandsCitePersonal Author:He, Kai ;Ignatov, Alexander...2016 | Remote Sens. 8(4), 1-21Description:Recently, the National Oceanic and Atmospheric Administration (NOAA) performed sea surface temperature (SST) reanalysis (RAN1) from seven AVHRR/3s onb...Personal Author:Koner, Prabhat K. ;Harris, Andy2016 | Remote Sens. 8(9), 1-17Description:Global sea-surface temperatures (SST) from MODIS measured brightness temperatures generated using the regression methods, have been available to users...Personal Author:O’Donnell, John P. R. ;Schalles, John F.2016 | Remote Sens. 8(6), 1-22Description:We examined the influence of abiotic drivers on inter-annual and phenological patterns of aboveground biomass for Marsh Cordgrass, Spartina alterniflo...Personal Author:Heron, Scott ;Johnston, Lyza...2016 | Remote Sens. 8(1), 1-16Description:Satellite monitoring of thermal stress on coral reefs has become an essential component of reef management practice around the world. A recent develop...Personal Author:Caldwell, Jamie ;Heron, Scott...2016 | Remote Sens. 8(2), 1-15Description:Predicting wildlife disease risk is essential for effective monitoring and management, especially for geographically expansive ecosystems such as cora...
More +
You May Also Like
2022 | Atmos. Chem. Phys., 22, 12923–12943
Description:
In situ cloud probe data from the NASA ObseRvations of Aerosols above CLouds and their intEractionS (ORACLES) field campaign were used to estimate the...
Personal Author:
Wang, Zhipeng ;
Iturbide-Sanchez, Flavio
...
2022 | Remote Sens. 2022, 14(4), 876
Description:
Radiometric intercomparison between satellite remote sensing instruments has become an increasingly common practice to monitor the stability and even ...
Checkout today's featured content at repository.library.noaa.gov