The International Satellite Cloud Climatology Project H-Series climate data record product

Young, Alisa H.; Knapp, Kenneth R.; Inamdar, Anand K.; Hankins, William; Rossow, William B.

doi:10.5194/essd-10-583-2018

Cited by 168 publications

(135 citation statements)

References 35 publications

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“…a Monthly mean cloud amount data sets provided by ISCCP D2 (ISCCP-D2) (Doutriaux-Boucher & Sèze, 1998) and ISCCP monthly H Gridded Monthly (ISCCP-HGM) (Young et al, 2018), in a 2.5°× 2.5°grid from July 1983 to June 2007 and a 1°× 1°grid from July 1983 to June 2015. ISCCP-H is an improved product of ISCCP-D2 issued in 2017 using the same inversion algorithm.…”

Section: Data Descriptionmentioning

confidence: 99%

Cloud Characteristics and Radiation Forcing in the Global Land Monsoon Region From Multisource Satellite Data Sets

Zhang

Guo

Zhang³

et al. 2020

Earth and Space Science

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The global land monsoon region has the highest land cloud amount in the world affecting two thirds of the world's population. Understanding the characteristics of cloud‐radiation relies heavily on satellite data set, while few studies have addressed the advantages and weaknesses of current existing satellite data sets in estimating the cloud‐radiation characteristics over global land monsoon regions. Multisource satellite data sets are used in this study to show the cloud characteristics in different monsoon regions. We find that all satellite data sets consistently show a peak of cloud fraction, cloud top height and cloud radiation forcing during summer over the global land monsoon regions. A regional difference in cloud characteristics is observed from multisource data sets. The seasonal cycle of cloud amount in the North American monsoon region is relatively smaller than that of the other monsoon regions. High‐level clouds dominate the North African monsoon, while Low‐level clouds dominate the Asian monsoon. The cloud properties and their radiative forcings revealed by four cloud‐parameter data sets with multispectral imagers, that is, International Satellite Cloud Climatology Project (ISCCP)‐D2, ISCCP‐H, Moderate Resolution Imaging Spectroradiometer (MODIS)‐MYD, and MODIS‐MOD, are similar to one another, except stronger short‐wave cloud radiative forcing in ISCCP‐FD. Multidata comparison confirmed the climate and seasonal cycles of cloud characteristics in this study, demonstrating a better representation of cloud vertical structure in CloudSat over global land monsoon region.

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Section: Data Descriptionmentioning

confidence: 99%

Cloud Characteristics and Radiation Forcing in the Global Land Monsoon Region From Multisource Satellite Data Sets

Zhang

Guo

Zhang³

et al. 2020

Earth and Space Science

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“…Our study site, the site receiving translocated bobwhites, was located on a private property in Brunswick County, North Carolina, USA, in the Carolina flatwoods ecoregion (Griffith et al ). Average daily temperature ranges for Brunswick County ranged from 18°−34°C in June−September (Young et al ). Throughout the year our study area averaged 0.63 cm of rainfall per day (0−20.42 cm) in 2016 and 0.50 cm/day (0−5.54 cm/day) in 2017 (Young et al ).…”

Section: Study Areamentioning

confidence: 99%

“…Average daily temperature ranges for Brunswick County ranged from 18°−34°C in June−September (Young et al ). Throughout the year our study area averaged 0.63 cm of rainfall per day (0−20.42 cm) in 2016 and 0.50 cm/day (0−5.54 cm/day) in 2017 (Young et al ). During the breeding season, average daily precipitation in 2016 was 0.25 cm (0.00–8.04 cm) and the average precipitation in 2017 was 0.20 cm (0.00–2.18 cm).…”

Section: Study Areamentioning

confidence: 99%

Survival and growth of northern bobwhite offspring post‐translocation

et al. 2019

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Continual population declines in northern bobwhites (Colinus virginianus) have prompted the use of population restoration techniques in conjunction with habitat management to restore their populations. We tested the site familiarity hypothesis to determine if translocation to new environments affected offspring survival and growth rates of bobwhites. We used bobwhites from north Florida and translocated them to a study site in Brunswick County, North Carolina, USA, and monitored birds during April−October 2016 and April−October 2017. We used the corral capture method and modified‐suture technique to capture and radio‐tag chicks to evaluate offspring growth and survival rates of resident and translocated bobwhites. Offspring survival varied by year and age. We did not find any difference in offspring survival rates of resident and translocated individuals, lending no support to the site familiarity hypothesis with regards to survival. Offspring of resident bobwhites did not grow at a faster rate than offspring of translocated bobwhites, indicating a lack of support for the site familiarity hypothesis in terms of physiological development. Survival, however, is a more important metric for determining post‐translocation population dynamics, and our results indicated that translocated bobwhites can reproduce and raise offspring similar to resident counterparts, but both had low survival. © 2019 The Wildlife Society.

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“…The CM SAF cLouds, Albedo and Radiation dataset from the AVHRR (CLARA-A2) data record [10] is the second edition of the CM SAF's global data record of cloud, surface albedo and surface radiation products derived from homogenized measurements of AVHRR on board the polar orbiting NOAA (7)(8)(9)(10)(11)(12)(13)(14)(15)(16)(17)(18) and Metop (A) satellites. Herein, we used CFC monthly means compiled from all AVHRR sensors over a time period 1982-2015 and provided by CM SAF on a global regular latitude-longitude grid with 0.25 degree resolution.…”

Section: Clara-a2mentioning

confidence: 99%

Performance Assessment of the COMET Cloud Fractional Cover Climatology across Meteosat Generations

et al. 2018

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Abstract:The CM SAF Cloud Fractional Cover dataset from Meteosat First and Second Generation (COMET, https://doi.org/10.5676/EUM_SAF_CM/CFC_METEOSAT/V001) covering 1991-2015 has been recently released by the EUMETSAT Satellite Application Facility for Climate Monitoring (CM SAF). COMET is derived from the MVIRI and SEVIRI imagers aboard geostationary Meteosat satellites and features a Cloud Fractional Cover (CFC) climatology in high temporal (1 h) and spatial (0.05 • × 0.05 • ) resolution. The CM SAF long-term cloud fraction climatology is a unique long-term dataset that resolves the diurnal cycle of cloudiness. The cloud detection algorithm optimally exploits the limited information from only two channels (broad band visible and thermal infrared) acquired by older geostationary sensors. The underlying algorithm employs a cyclic generation of clear sky background fields, uses continuous cloud scores and runs a naïve Bayesian cloud fraction estimation using concurrent information on cloud state and variability. The algorithm depends on well-characterized infrared radiances (IR) and visible reflectances (VIS) from the Meteosat Fundamental Climate Data Record (FCDR) provided by EUMETSAT. The evaluation of both Level-2 (instantaneous) and Level-3 (daily and monthly means) cloud fractional cover (CFC) has been performed using two reference datasets: ground-based cloud observations (SYNOP) and retrievals from an active satellite instrument (CALIPSO/CALIOP). Intercomparisons have employed concurrent state-of-the-art satellite-based datasets derived from geostationary and polar orbiting passive visible and infrared imaging sensors (MODIS, CLARA-A2, CLAAS-2, PATMOS-x and CC4CL-AVHRR). Averaged over all reference SYNOP sites on the monthly time scale, COMET CFC reveals (for 0-100% CFC) a mean bias of −0.14%, a root mean square error of 7.04% and a trend in bias of −0.94% per decade. The COMET shortcomings include larger negative bias during the Northern Hemispheric winter, lower precision for high sun zenith angles and high viewing angles, as well as an inhomogeneity around 1995/1996. Yet, we conclude that the COMET CFC corresponds well to the corresponding SYNOP measurements, and it is thus useful to extend in both space and time century-long ground-based climate observations.

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The International Satellite Cloud Climatology Project H-Series climate data record product

Cited by 168 publications

References 35 publications

Cloud Characteristics and Radiation Forcing in the Global Land Monsoon Region From Multisource Satellite Data Sets

Cloud Characteristics and Radiation Forcing in the Global Land Monsoon Region From Multisource Satellite Data Sets

Survival and growth of northern bobwhite offspring post‐translocation

Performance Assessment of the COMET Cloud Fractional Cover Climatology across Meteosat Generations

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