World Library  


Add to Book Shelf
Flag as Inappropriate
Email this Book

Towards a Long-term Global Aerosol Optical Depth Record: Applying a Consistent Aerosol Retrieval Algorithm to Modis and Viirs-observed Reflectance : Volume 8, Issue 7 (08/07/2015)

By Levy, R. C.

Click here to view

Book Id: WPLBN0004000520
Format Type: PDF Article :
File Size: Pages 71
Reproduction Date: 2015

Title: Towards a Long-term Global Aerosol Optical Depth Record: Applying a Consistent Aerosol Retrieval Algorithm to Modis and Viirs-observed Reflectance : Volume 8, Issue 7 (08/07/2015)  
Author: Levy, R. C.
Volume: Vol. 8, Issue 7
Language: English
Subject: Science, Atmospheric, Measurement
Collections: Periodicals: Journal and Magazine Collection, Copernicus GmbH
Historic
Publication Date:
2015
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications

Citation

APA MLA Chicago

Holz, R. E., Patadia, F., Mattoo, S., Levy, R. C., Remer, L. A., & Munchak, L. A. (2015). Towards a Long-term Global Aerosol Optical Depth Record: Applying a Consistent Aerosol Retrieval Algorithm to Modis and Viirs-observed Reflectance : Volume 8, Issue 7 (08/07/2015). Retrieved from http://www.ebooklibrary.org/


Description
Description: NASA Goddard Space Flight Center, Greenbelt, MD, USA. To answer fundamental questions about aerosols in our changing climate, we must quantify both the current state of aerosols and how they are changing. Although NASA's Moderate resolution Imaging Spectroradiometer (MODIS) sensors have provided quantitative information about global aerosol optical depth (AOD) for more than a decade, this period is still too short to create an aerosol climate data record (CDR). The Visible Infrared Imaging Radiometer Suite (VIIRS) was launched on the Suomi-NPP satellite in late 2011, with additional copies planned for future satellites. Can the MODIS aerosol data record be continued with VIIRS to create a consistent CDR? When compared to ground-based AERONET data, the VIIRS Environmental Data Record (V_EDR) has similar validation statistics as the MODIS Collection 6 (M_C6) product. However, the V_EDR and M_C6 are offset in regards to global AOD magnitudes, and tend to provide different maps of 0.55 μm AOD and 0.55/0.86 μm-based Ångstrom Exponent (AE). One reason is that the retrieval algorithms are different. Using the Intermediate File Format (IFF) for both MODIS and VIIRS data, we have tested whether we can apply a single MODIS-like (ML) dark-target algorithm on both sensors that leads to product convergence. Except for catering the radiative transfer and aerosol lookup tables to each sensor's specific wavelength bands, the ML algorithm is the same for both. We run the ML algorithm on both sensors between March 2012 and May 2014, and compare monthly mean AOD time series with each other and with M_C6 and V_EDR products. Focusing on the March–April–May (MAM) 2013 period, we compared additional statistics that include global and gridded 1° × 1° AOD and AE, histograms, sampling frequencies, and collocations with ground-based AERONET. Over land, use of the ML algorithm clearly reduces the differences between the MODIS and VIIRS-based AOD. However, although global offsets are near zero, some regional biases remain, especially in cloud fields and over brighter surface targets. Over ocean, use of the ML algorithm actually increases the offset between VIIRS and MODIS-based AOD (to ∼ 0.025), while reducing the differences between AE. We characterize algorithm retrievibility through statistics of retrieval fraction. In spite of differences between retrieved AOD magnitudes, the ML algorithm will lead to similar decisions about whether to retrieve on each sensor. Finally, we discuss how issues of calibration, as well as instrument spatial resolution may be contributing to the statistics and the ability to create a consistent MODIS → VIIRS aerosol CDR.

Summary
Towards a long-term global aerosol optical depth record: applying a consistent aerosol retrieval algorithm to MODIS and VIIRS-observed reflectance

Excerpt
Ahmad, Z. and Fraser, R. S.: An iterative radiative transfer code for ocean–atmosphere systems, J. Atmos. Sci., 39, 656–665, doi:10.1175/1520-0469(1982)039%3C0656:AIRTCF; Blonski, S., Cao, C., Shao, X., and Uprety, S.: VIIRS reflective solar bands calibration changes and potential impacts on ocean color applications, in Proc. SPIE, 9111, Ocean Sensing and Monitoring VI, Baltimore, MD, USA, 06–07 May 2014, 911106, 2014.; Bojinski, S., Verstraete, M., Peterson, T. C., Richter, C., Simmons, A., and Zemp, M.: The concept of essential climate variables in support of climatic research, applications, and policy, B. Am. Meteorol. Soc., 95, 1431–1443, doi:10.1175/BAMS-D-13-00047.1, 2014.; Cao, C., Xiong, J., Blonski, S., Liu, Q., Uprety, S., Shao, X., Bai, Y., and Weng, F.: Suomi NPP VIIRS sensor data record verification, validation, and long-term performance monitoring, J. Geophys. Res.-Atmos., 118, 11664–11678, doi:10.1002/2013JD020418, 2013.; Cao, C., De Luccia, F. J., Xiong, X., Wolfe, R., and Weng, F.: Early on-orbit performance of the visible infrared imaging radiometer suite onboard the Suomi National Polar-Orbiting Partnership (S-NPP) satellite, IEEE T. Geosci. Remote, 52, 1142–1156, doi:10.1109/TGRS.2013.2247768, 2014.; Carroll, M. L., Townshend, J. R., DiMiceli, C. M., Noojipady, P., and Sohlberg, R. A.: A new global raster water mask at 250 m resolution, Int. J. Digit. Earth, 2, 291–308, doi:10.1080/17538940902951401, 2009.; Chan, P. K., Zhao, X. P., and Heidinger, A. K.: Long-term aerosol climate data record derived from operational AVHRR satellite observations, Dataset Papers in Geosciences, 1–5, doi:10.7167/2013/140791/dataset, 2013.; Chin, M., Diehl, T., Tan, Q., Prospero, J. M., Kahn, R. A., Remer, L. A., Yu, H., Sayer, A. M., Bian, H., Geogdzhayev, I. V., Holben, B. N., Howell, S. G., Huebert, B. J., Hsu, N. C., Kim, D., Kucsera, T. L., Levy, R. C., Mishchenko, M. I., Pan, X., Quinn, P. K., Schuster, G. L., Streets, D. G., Strode, S. A., Torres, O., and Zhao, X.-P.: Multi-decadal aerosol variations from 1980 to 2009: a perspective from observations and a global model, Atmos. Chem. Phys., 14, 3657–3690, doi:10.5194/acp-14-3657-2014, 2014.; Clough, S. A., Iacono, M. J., and Moncet, J.-L.: Line-by-Line calculations of atmospheric fluxes and cooling rates: application to water vapor, J. Geophys. Res.-Atmos., 97, 15761, doi:10.1029/92JD01419, 1992.; Clough, S. A., Shephard, M. W., Mlawer, E. J., Delamere, J. S., Iacono, M. J., Cady-Pereira, K., Boukabara, S., and Brown, P. D.: Atmospheric radiative transfer modeling: a summary of the AER codes, J. Quant. Spectrosc. Ra., 91, 233–244, doi:10.1016/j.jqsrt.2004.05.058, 2005.; Colarco, P. R., Kahn, R. A., Remer, L. A., and Levy, R. C.: Impact of satellite viewing-swath width on global and regional aerosol optical thickness statistics and trends, Atmos. Meas. Tech., 7, 2313–2335, doi:10.5194/amt-7-2313-2014, 2014.; Cox, C. and Munk, W.: Measurement of the roughness of the sea surface from photographs of the sun's glitter, J. Opt. Soc. Am., 44, 838–850, doi:10.1364/JOSA.44.000838, 1954.; Evans, K. F. and Stephens, G. L.: A new polarized atmospheric radiative transfer model, J. Quant. Spectrosc. Ra., 46, 413–423, 1991.; Franz, B. A., We

 

Click To View

Additional Books


  • Observation of Strato-mesospheric Co Abo... (by )
  • A Flow-tube Based Laser-induced Fluoresc... (by )
  • Big Grains Go Far: Reconciling Tephrochr... (by )
  • The Large-scale Spatio-temporal Variabil... (by )
  • Carbon Monoxide Measurements Onboard the... (by )
  • Field Inter-comparison of Eleven Atmosph... (by )
  • Compass – Comparative Particle Formation... (by )
  • Next-generation Angular Distribution Mod... (by )
  • Maïdo Observatory: a New Altitude Statio... (by )
  • A Sublimation Technique for High-precisi... (by )
  • Spatial Mapping of Ground-based Observat... (by )
  • Detecting Physically Unrealistic Outlier... (by )
Scroll Left
Scroll Right

 



Copyright © World Library Foundation. All rights reserved. eBooks from World eBook Library are sponsored by the World Library Foundation,
a 501c(4) Member's Support Non-Profit Organization, and is NOT affiliated with any governmental agency or department.