Nimbus-7 Global Cloud Climatology. part I: Algorithms and Validation

Stowe, Larry L.; Wellemeyer, C. G.; Eck, T. F.; Yeh, H.-Y. M.; TEAM, The Nimbus-7 CLOUD DATA PROCecessing

doi:10.1175/1520-0442(1988)001<0445:ngccpi>2.0.co;2

Cited by 107 publications

(28 citation statements)

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“…The Nimbus-7 Cloud Matrix total cloud data are derived from the Temperature Humidity Infrared Radiometer (THIR) and Total Ozone Mapping Spectrometer (TOMS) measurements for the period April 1979-March 1985. Retrieval algorithms are described in detail in Stowe et al (1988) and Stowe et al (1989). The Global Precipitation Climatology Project (GPCP) Version-2 Monthly Preciptation Analysis is a global precipitation dataset on a 2.5 degree grid extending from 1979-2003(Adler et al 2003.…”

Section: Introductionmentioning

confidence: 99%

Simulation of the Global Hydrological Cycle in the CCSM Community Atmosphere Model Version 3 (CAM3): Mean Features

et al. 2006

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The seasonal and annual climatological behavior of selected components of the hydrological cycle are presented from coupled and uncoupled configurations of the atmospheric component of the Community Climate System Model (CCSM), the Community Atmosphere Model Version 3 (CAM3). The formulations of processes that play a role in the hydrological cycle are significantly more complex when compared with earlier versions of the atmospheric model.Major features of the simulated hydrological cycle will be compared against available observational data, and the strengths and weaknesses will be discussed in the context of the fully-coupled model simulation.

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Section: Introductionmentioning

confidence: 99%

Simulation of the Global Hydrological Cycle in the CCSM Community Atmosphere Model Version 3 (CAM3): Mean Features

et al. 2006

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“…Compared to the typical value of tropospheric ozone of 20∼30 DU, this average corrected wave-1 amplitude of 2 DU (Peak-to-trough difference of ∼4 DU with monthly excursions exceeding 5 DU) cannot be neglected. We use the Temperature Humidity Infrared Radiometer (THIR) measurements (Stowe et al, 1988) collocated with TOMS measurements on the NIMBUS-7 platform to assess both the true altitude of the reflecting clouds and the accuracy of using the TOMS measurement of reflectivity at 380 nm alone as a proxy for cloud altitude. Comparisons of the CCP tropical tropospheric ozone columns to the available ozonesonde record indicate an improvement of about 6 DU with respect to the archived CCD data from http://code916.gsfc.nasa.gov/People/Ziemke/ averaged over all available SHADOZ ozonesonde observations.…”

Section: Introductionmentioning

confidence: 99%

Tropical tropospheric ozone derived using Clear-Cloudy Pairs (CCP) of TOMS measurements

et al. 2003

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Abstract. Using TOMS total-ozone measurements over high-altitude cloud locations and nearby paired clear locations, we describe the Clear-Cloudy Pairs (CCP) method for deriving tropical tropospheric ozone. The high-altitude clouds are identified by measured 380 nm reflectivities greater than 80% and Temperature Humidity InfraRed (THIR) measured cloud-top pressures less than 200 hPa. To account for locations without high-altitude clouds, we apply a zonal sine fitting to the stratospheric ozone derived from available cloudy points, resulting in a wave-one amplitude of about 4 DU. THIR data is unavailable after November 1984, so we extend the CCP method by using a reflectivity threshold of 90% to identify high-altitude clouds and remove the influence of high-reflectivity-but-low-altitude clouds with a lowpass frequency filter. We correct ozone retrieval errors associated with clouds, and ozone retrieval errors due to sun glint and aerosols. Comparing CCP results with Southern Hemisphere ADditional OZonesondes (SHADOZ) tropospheric ozone indicates that CCP tropospheric ozone and ozonesonde measurements agree, on average, to within 3 ± 1 DU standard error of the mean. The most significant difference between CCP and ozonesonde tropospheric ozone can be explained by the low Total Ozone Mapping Spectrometer (TOMS) version-7 retrieval efficiency of ozone in the lower troposphere.

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“…Other data set is provided by Defense Satellite Meteorological Program (DMSP) Special Sensor Microwave/Imager (SSM/I) [23,24]. Nimbus-7 CMATRIX Project [25] has data set covering time period 1979-1985.…”

Section: Methodology and Data Collectionmentioning

confidence: 99%

On relationship between Galactic Cosmic Rays and Cloud cover

Dave¹

2017

JOSA

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Intriguing relationship between Galactic Cosmic Ray (GCR) and Cloud Cover (CC) puts a challenge in understanding climate variability and global warming. Correlation obtained between Galactic Cosmic Ray and Cloud Cover is explained by ionization of air molecules due to cosmic rays. This atmospheric ionization affects cloud nucleation and hence changes distribution of cloudiness. On the other hand, clumping of aerosols resulting from ionization is yet to prove. Uncertainty in cloud measurements is another barrier for proving any specific relationship between Galactic Cosmic Ray and Cloud Cover.

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Nimbus-7 Global Cloud Climatology. part I: Algorithms and Validation

Cited by 107 publications

References 0 publications

Simulation of the Global Hydrological Cycle in the CCSM Community Atmosphere Model Version 3 (CAM3): Mean Features

Simulation of the Global Hydrological Cycle in the CCSM Community Atmosphere Model Version 3 (CAM3): Mean Features

Tropical tropospheric ozone derived using Clear-Cloudy Pairs (CCP) of TOMS measurements

On relationship between Galactic Cosmic Rays and Cloud cover

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