@article{springerOceanicCloud,

title = {Oceanic cloud trends during the satellite era and their radiative signatures },

author = {Tselioudis, G., W.B. Rossow, F. Bender, L. Oreopoulos and J. Remillard},

url = {https://link.springer.com/article/10.1007/s00382-024-07396-8undefined,

https://www.williambrossow.com/wp-content/uploads/2025/01/2024_Tselioudisetal24.pdf},

doi = {10.1007/s00382-024-07396-8},

year  = {2024},

date = {2024-08-18},

urldate = {2024-08-18},

journal = {Climate Dynamics},

volume = {62},

pages = {9319-9332},

abstract = {The present study analyzes zonal mean cloud and radiation trends over the global oceans for the past 35 years from a suite of satellite datasets covering two periods. In the longer period (1984\textendash2018) cloud properties come from the ISCCP-H, CLARA-A3, and PATMOS-x datasets and radiative properties from the ISCCP-FH dataset, while for the shorter period (2000\textendash2018) cloud data from MODIS and CloudSat/CALIPSO and radiative fluxes from CERES-EBAF are added. Zonal mean total cloud cover (TCC) trend plots show an expansion of the subtropical dry zone, a poleward displacement of the midlatitude storm zone and a narrowing of the tropical intertropical convergence zone (ITCZ) region over the 1984\textendash2018 period. This expansion of the ‘low cloud cover curtain’ and the contraction of the ITCZ rearrange the boundaries and extents of all major climate zones, producing a more poleward and narrower midlatitude storm zone and a wider subtropical zone. Zonal mean oceanic cloud cover trends are examined for three latitude zones, two poleward of 50 ° and one bounded within 50oS and 50oN, and show upward or near-zero cloud cover trends in the high latitude zones and consistent downward trends in the low latitude zone. The latter dominate in the global average resulting in TCC decreases that range from 0.72% per decade to 0.17% per decade depending on dataset and period. These contrasting cloud cover changes between the high and low latitude zones produce contrasting low latitude cloud radiative warming and high latitude cloud radiative cooling effects, present in both the ISCCP-FH and CERES-EBAF datasets. The global ocean mean trend of the short wave cloud radiative effect (SWCRE) depends on the balance between these contrasting trends, which in the CERES dataset materializes as a SW cloud radiative warming trend of 0.12 W/m2/decade coming from the dominance of the low-latitude positive SWCRE trends while in the ISCCP-FH dataset it manifests as a 0.3 W/m2/decade SW cloud radiative cooling trend coming from the dominance of the high latitude negative SWCRE trends. The CERES cloud radiative warming trend doubles in magnitude to 0.24 W/m2/decade when the period is extended from 2016 to 2022, implying a strong cloud radiative heating in the past 6 years coming from the low latitude zone.},

howpublished = {urlhttps://link.springer.com/article/10.1007/s00382-024-07396-8},

note = {[Accessed 22-01-2025]},

keywords = {ANALYSIS, CLOUD PROPERTIES, ISCCP, Radiation},

pubstate = {published},

tppubtype = {article}

}

@article{nokey,

title = {Lessons Learned from the Updated GEWEX Cloud Assessment Database },

author = {Stubenrauch, Claudia J. and Kinne, Stefan and Mandorli, Giulio and Rossow, William B. and Winker, David M. and Ackerman, Steven A. and Chepfer, Helene and Di Girolamo, Larry and Garnier, Anne and Heidinger, Andrew and Karlsson, Karl-G\"{o}ran and Meyer, Kerry and Minnis, Patrick and Platnick, Steven and Stengel, Martin and Sun-Mack, Szedung and Veglio, Paolo and Walther, Andi and Cai, Xia and Young, Alisa H. and Zhao, Guangyu},

url = {https://www.williambrossow.com/wp-content/uploads/2024/04/2024_Stubenrauch_et_al-2024-Surveys_in_Geophysics.pdf},

doi = {10.1007/s10712-024-09824-0},

isbn = {1573-0956},

year  = {2024},

date = {2024-02-09},

journal = {Surveys in Geophysics},

abstract = {Since the first Global Energy and Water Exchanges cloud assessment a decade ago, existing cloud property retrievals have been revised and new retrievals have been developed. The new global long-term cloud datasets show, in general, similar results to those of the previous assessment. A notable exception is the reduced cloud amount provided by the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) Science Team, resulting from an improved aerosol\textendashcloud distinction. Height, opacity and thermodynamic phase determine the radiative effect of clouds. Their distributions as well as relative occurrences of cloud types distinguished by height and optical depth are discussed. The similar results of the two assessments indicate that further improvement, in particular on vertical cloud layering, can only be achieved by combining complementary information. We suggest such combination methods to estimate the amount of all clouds within the atmospheric column, including those hidden by clouds aloft. The results compare well with those from CloudSat-CALIPSO radar\textendashlidar geometrical profiles as well as with results from the International Satellite Cloud Climatology Project (ISCCP) corrected by the cloud vertical layer model, which is used for the computation of the ISCCP-derived radiative fluxes. Furthermore, we highlight studies on cloud monitoring using the information from the histograms of the database and give guidelines for: (1) the use of satellite-retrieved cloud properties in climate studies and climate model evaluation and (2) improved retrieval strategies.},

keywords = {ANALYSIS, CLOUD PROPERTIES, GEWEX, ISCCP, RADIATION EXCHANGES},

pubstate = {published},

tppubtype = {article}

}

@article{Rossow2022-jz,

title = {International satellite cloud climatology project: Extending the  record},

author = {William B Rossow and Kenneth R Knapp and Alisa H Young},

url = {https://www.williambrossow.com/wp-content/uploads/2022/09/2022_Rossowetal.5B1520044220-20Journal20of20Climate5D20International20Satellite20Cloud20Climatology20Project3A20Extending20the20Record.pdf, Download file},

doi = {10.1175/jcli-d-21-0157.1},

year  = {2022},

date = {2022-01-01},

urldate = {2022-01-01},

journal = {J. Clim.},

volume = {35},

number = {1},

pages = {141--158},

publisher = {\"{A}merican Meteorological Society},

abstract = {\"{A}bstractISCCP continues to quantify the global distribution and 

 diurnal-to-interannual variations of cloud properties in a 

 revised version. This paper summarizes assessments of the 

 previous version, describes refinements of the analysis and 

 enhanced features of the product design, discusses the few 

 notable changes in the results, and illustrates the long-term 

 variations of global mean cloud properties and differing high 

 cloud changes associated with ENSO. The new product design 

 includes a global, pixel-level product on a 0.1° grid, all other 

 gridded products at 1.0°-equivalent equal area, separate 

 satellite products with ancillary data for regional studies, 

 more detailed, embedded quality information, and all gridded 

 products in netCDF format. All the data products including all 

 input data, expanded documentation, the processing code, and an 

 operations guide are available online. Notable changes are 1) a 

 lowered ice--liquid temperature threshold, 2) a treatment of the 

 radiative effects of aerosols and surface temperature 

 inversions, 3) refined specification of the assumed cloud 

 microphysics, and 4) interpolation of the main daytime cloud 

 information overnight. The changes very slightly increase the 

 global monthly mean cloud amount with a little more high cloud 

 and a little less middle and low cloud. Over the whole period, 

 total cloud amount slowly decreases caused by decreases in 

 cumulus/altocumulus; consequently, average cloud-top temperature 

 and optical thickness have increased. The diurnal and seasonal 

 cloud variations are very similar to earlier versions. Analysis 

 of the whole record shows that high cloud variations, but not 

 low clouds, exhibit different patterns in different ENSO events."},

keywords = {ISCCP},

pubstate = {published},

tppubtype = {article}

}

@article{Rossow2019-kr,

title = {Building an accessible, integrated Earth observing and  information system: The International Satellite Cloud  Climatology Project as a pathfinder},

author = {William B Rossow and John J Bates},

url = {https://www.williambrossow.com/wp-content/uploads/2022/03/BAMSRossowbates.pdf, Download file},

year  = {2019},

date = {2019-12-01},

urldate = {2019-12-01},

journal = {Bull. Am. Meteorol. Soc.},

volume = {100},

number = {12},

pages = {2423--2431},

publisher = {\"{A}merican Meteorological Society},

abstract = {The current heterogeneity of the existing global 

 collection of measuring assets, satellite and surface based, is 

 a major obstacle to creating a truly integrated, globally 

 uniform information system. Many surveys of Earth science needs 

 over the last 40+ years mention research-to-operations (R2O) 

 actions that are needed to develop such a system but focus 

 mainly on making and collecting measurements with little 

 discussion of the processing system and the integrated team of 

 talented scientists needed to turn raw observations into usable 

 information or the archival system needed to make reliable 

 information readily and widely accessible. We discuss an example 

 of addressing the problems in producing globally uniform 

 information from such observations: the creation in 1982--83 of 

 the data collection, processing, and archival system for the 

 International Satellite Cloud Climatology Project (ISCCP). ISCCP 

 was originally built in a research environment for climate 

 studies, but has now transitioned to a fully operational 

 environment to extend the length of the data record for climate 

 research. Transforming multiple satellite observations into a 

 uniform, global set of physical information about clouds that is 

 readily accessible was and is challenging for several reasons. 

 In this short commentary, we reflect on the experiences and 

 lessons learned in building the ISCCP 

 observation--processing--archival system to address these 

 challenges and discuss the ISCCP R2O process to serve as a 

 pathfinder for building a global observing and information 

 system."},

keywords = {ANALYSIS, ISCCP},

pubstate = {published},

tppubtype = {article}

}

@article{Young2018-ah,

title = {The International Satellite Cloud Climatology Project H-Series  climate data record product},

author = {Alisa H Young and Kenneth R Knapp and Anand Inamdar and William Hankins and William B Rossow},

url = {https://www.williambrossow.com/wp-content/uploads/2022/03/essd-10-583-2018-1.pdf, Download file},

year  = {2018},

date = {2018-03-01},

urldate = {2018-03-01},

journal = {Earth Syst. Sci. Data},

volume = {10},

number = {1},

pages = {583--593},

publisher = {Copernicus GmbH},

abstract = {\"{A}bstract. This paper describes the new global long-term 

 International Satellite Cloud Climatology Project (ISCCP) 

 H-series climate data record (CDR). The H-series data contain a 

 suite of level 2 and 3 products for monitoring the distribution 

 and variation of cloud and surface properties to better 

 understand the effects of clouds on climate, the radiation 

 budget, and the global hydrologic cycle. This product is 

 currently available for public use and is derived from both 

 geostationary and polar-orbiting satellite imaging radiometers 

 with common visible and infrared (IR) channels. The H-series 

 data currently span July 1983 to December 2009 with plans for 

 continued production to extend the record to the present with 

 regular updates. The H-series data are the longest combined 

 geostationary and polar orbiter satellite-based CDR of cloud 

 properties. Access to the data is provided in network common 

 data form (netCDF) and archived by NOAA's National Centers for 

 Environmental Information (NCEI) under the satellite Climate 

 Data Record Program (https://doi.org/10.7289/V5QZ281S). The 

 basic characteristics, history, and evolution of the dataset are 

 presented herein with particular emphasis on and discussion of 

 product changes between the H-series and the widely used 

 predecessor D-series product which also spans from July 1983 

 through December 2009. Key refinements included in the ISCCP 

 H-series CDR are based on improved quality control measures, 

 modified ancillary inputs, higher spatial resolution input and 

 output products, calibration refinements, and updated 

 documentation and metadata to bring the H-series product into 

 compliance with existing standards for climate data records."},

keywords = {ISCCP},

pubstate = {published},

tppubtype = {article}

}

@article{ro04410o,

title = {Evaluation of long-term calibrations of the AVHRR visible radiances},

author = {W. B. Rossow and J. Ferrier},

url = {https://www.williambrossow.com/wp-content/uploads/2022/03/15200426-Journal-of-Atmospheric-and-Oceanic-Technology-Evaluation-of-Long-Term-Calibrations-of-the-AVHRR-Visible-Radiances.pdf, Download file},

doi = {10.1175/JTECH-D-14-00134.1},

year  = {2015},

date = {2015-01-01},

urldate = {2015-01-01},

journal = {J. Atmos. Ocean. Technol.},

volume = {32},

number = {4},

pages = {744--766},

keywords = {ISCCP, SATELLITE CALIBRATION},

pubstate = {published},

tppubtype = {article}

}

@article{Rossow2014-rk,

title = {Clouds in weather and climate: The international satellite cloud  climatology project at 30: What do we know and what do we still  need to know?},

author = {William Rossow},

url = {https://www.williambrossow.com/wp-content/uploads/2022/03/15200477-Clouds-in-Weather-and-Climate_-The-International-Satellite-Cloud-Climatology-Project-at-30_-What-Do-We-Know-and-What-Do-We-Still-Need-to-Know_.pdf, Download file},

doi = {10.1175/bams-d-13-00138.1},

year  = {2014},

date = {2014-03-01},

urldate = {2014-03-01},

journal = {Bull. Am. Meteorol. Soc.},

volume = {95},

number = {3},

pages = {441--443},

publisher = {\"{A}merican Meteorological Society},

keywords = {ISCCP},

pubstate = {published},

tppubtype = {article}

}

@article{Stubenrauch2013-ka,

title = {Assessment of global cloud datasets from satellites: Project and  database initiated by the GEWEX Radiation Panel},

author = {C J Stubenrauch and W B Rossow and S Kinne and S Ackerman and G Cesana and H Chepfer and L Di Girolamo and B Getzewich and A Guignard and A Heidinger and B C Maddux and W P Menzel and P Minnis and C Pearl and S Platnick and C Poulsen and J Riedi and S Sun-Mack and A Walther and D Winker and S Zeng and G Zhao},

url = {https://www.williambrossow.com/wp-content/uploads/2022/03/15200477-Bulletin-of-the-American-Meteorological-Society-Assessment-of-Global-Cloud-Datasets-from-Satellites_-Project-and-Database-Initiated-by-the-GEWEX-Radiation-Panel.pdf, Download file},

doi = {10.1175/bams-d-12-00117.1},

year  = {2013},

date = {2013-07-01},

urldate = {2013-07-01},

journal = {Bull. Am. Meteorol. Soc.},

volume = {94},

number = {7},

pages = {1031--1049},

publisher = {\"{A}merican Meteorological Society},

abstract = {Clouds cover about 70% of Earth's surface and play a dominant 

 role in the energy and water cycle of our planet. Only satellite 

 observations provide a continuous survey of the state of the 

 atmosphere over the entire globe and across the wide range of 

 spatial and temporal scales that compose weather and climate 

 variability. Satellite cloud data records now exceed more than 

 25 years; however, climate data records must be compiled from 

 different satellite datasets and can exhibit systematic biases. 

 Questions therefore arise as to the accuracy and limitations of 

 the various sensors and retrieval methods. The Global Energy and 

 Water Cycle Experiment (GEWEX) Cloud Assessment, initiated in 

 2005 by the GEWEX Radiation Panel (GEWEX Data and Assessment 

 Panel since 2011), provides the first coordinated 

 intercomparison of publicly available, standard global cloud 

 products (gridded monthly statistics) retrieved from 

 measurements of multispectral imagers (some with multiangle view 

 and polarization capabilities), IR sounders, and lidar. Cloud 

 properties under study include cloud amount, cloud height (in 

 terms of pressure, temperature, or altitude), cloud 

 thermodynamic phase, and cloud radiative and bulk microphysical 

 properties (optical depth or emissivity, effective particle 

 radius, and water path). Differences in average cloud 

 properties, especially in the amount of high-level clouds, are 

 mostly explained by the inherent instrument measurement 

 capability for detecting and/or identifying optically thin 

 cirrus, especially when overlying low-level clouds. The study of 

 long-term variations with these datasets requires consideration 

 of many factors. The monthly gridded database presented here 

 facilitates further assessments, climate studies, and the 

 evaluation of climate models.},

keywords = {CLOUD PROPERTIES, ISCCP},

pubstate = {published},

tppubtype = {article}

}

@article{st09020f,

title = {Evaluation of ISCCP multisatellite radiance calibration for geostationary imager visible channels using the Moon},

author = {T. C. Stone and W. B. Rossow and J. Ferrier and L. M. Finkelman},

url = {https://www.williambrossow.com/wp-content/uploads/2022/09/2013_Stoneetal_TGRS.51.1255.pdf, Download file},

doi = {10.1109/TGRS.2012.2237520},

year  = {2013},

date = {2013-01-01},

urldate = {2013-01-01},

journal = {IEEE Trans. Geosci. Remote Sens.},

volume = {51},

pages = {1255--1266},

keywords = {ISCCP, SATELLITE CALIBRATION},

pubstate = {published},

tppubtype = {article}

}

@article{Jimenez2012-bo,

title = {A comparison of ISCCP land surface temperature with other  satellite and in situ observations},

author = {Carlos Jim\'{e}nez and Catherine Prigent and Julie Catherinot and William Rossow and Pan Liang and Jean-Luc Moncet},

url = {https://www.williambrossow.com/wp-content/uploads/2022/04/A_comparison_of_ISCCP_land_surface_temperature_wit-1.pdf, Download file},

doi = {10.1029/2011jd017058},

year  = {2012},

date = {2012-04-01},

urldate = {2012-04-01},

journal = {J. Geophys. Res.},

volume = {117},

number = {D8},

publisher = {\"{A}merican Geophysical Union (AGU)},

abstract = {[1] Land surface skin temperature (LST) estimates from the 

 International Satellite Cloud Climatology Project (ISCCP) are 

 compared with estimates from the satellite instruments AIRS and 

 MODIS, and in situ observations from CEOP. ISCCP has generally 

 slightly warmer nighttime LSTs compared with AIRS and MODIS 

 (global) and CEOP (at specific sites). Differences are smaller 

 than 2K, similar to other reported biases between satellite 

 estimates. Larger differences are found in the day-time LSTs, 

 especially for those regions where large LST values occur. 

 Inspection of the AIRS and ISCCP brightness temperatures at the 

 top of the atmosphere (TOA-BT) reveals that where the LSTs 

 differ so too do the TOA-BT values. Area-averaged day-time 

 TOA-BT values can differ as much as 5K in very dry regions. This 

 could be related to differences in sensor calibration, but also 

 to the large LST gradients at the AIRS mid-day overpass that 

 likely amplify the impact of sensor mismatches. Part of the 

 studied LST differences are also explained by discrepancies in 

 the AIRS and ISCCP characterization of the surface (emissivity) 

 and the atmosphere (water vapor). ISCCP calibration procedures 

 are currently being revised to account better for sensor 

 spectral response differences, and alternative atmospheric and 

 surface data sets are being tested as part of a complete ISCCP 

 reprocessing. This is expected to result in an improved ISCCP 

 LST record.},

keywords = {ISCCP, SURFACE PROPERTIES},

pubstate = {published},

tppubtype = {article}

}

@article{ba08400w,

title = {Exploiting diurnal variations to evaluate the ISCCP-FD flux calculations and radiative-flux-analysis-processed surface observations from BSRN, ARM and SURFRAD},

author = {Y. -C. Zhang and C. N. Long and W. B. Rossow and E. G. Dutton},

url = {https://www.williambrossow.com/wp-content/uploads/2022/05/2010_Zhang_zh01100t.pdf, Download file},

doi = {10.1029/2009JD012743,   f1bfs26 cb1},

year  = {2010},

date = {2010-01-01},

urldate = {2010-01-01},

journal = {J. Geophys. Res.},

volume = {115},

number = {D6},

pages = {D15105},

keywords = {ISCCP, RADIATION EXCHANGES},

pubstate = {published},

tppubtype = {article}

}

@article{ra06400f,

title = {Cloud effects on the radiation budget based on ISCCP data (1991 to 1995)},

author = {E. Raschke and A. Ohmura and W. B. Rossow and B. E. Carlson and Y. -C. Zhang and C. Stubenrauch and M. Kottek and M. Wild},

url = {https://www.williambrossow.com/wp-content/uploads/2022/06/2005_Raschke_ra06400f.pdf, Download file},

doi = {10.1002/joc.1157},

year  = {2005},

date = {2005-01-01},

urldate = {2005-01-01},

journal = {Int. J. Climatol.},

volume = {25},

pages = {1103--1125},

keywords = {ISCCP, RADIATION EXCHANGES},

pubstate = {published},

tppubtype = {article}

}

@article{ro08600k,

title = {The International Satellite Cloud Climatology Project (ISCCP) web site: An online resource for research},

author = {W. B. Rossow and E. Duenas},

url = {https://www.williambrossow.com/wp-content/uploads/2022/06/2004_Rossow_ro08600k.pdf, Download file},

doi = {10.1175/BAMS-85-2-167},

year  = {2004},

date = {2004-01-01},

urldate = {2004-01-01},

journal = {Bull. Amer. Meteorol. Soc.},

volume = {85},

pages = {167--172},

keywords = {ISCCP},

pubstate = {published},

tppubtype = {article}

}

@article{ha07200r,

title = {ISCCP cloud properties associated with standard cloud types identified in individual surface observations},

author = {C. J. Hahn and W. B. Rossow and S. G. Warren},

url = {https://www.williambrossow.com/wp-content/uploads/2022/06/2001_Hahn_ha07200r.pdf, Download file},

doi = {10.1175/1520-0442(2001)014%3C0011%3AICPAWS%3E2.0.CO;2},

year  = {2001},

date = {2001-01-01},

urldate = {2001-01-01},

journal = {J. Climate},

volume = {14},

pages = {11--28},

keywords = {CLOUD PROPERTIES, ISCCP, WEATHER STATE},

pubstate = {published},

tppubtype = {article}

}

@article{ha08200o,

title = {Near-global survey of cloud column susceptibilities using ISCCP data},

author = {Q. Han and W. B. Rossow and J. Chou and R. W. Welch},

url = {https://www.williambrossow.com/wp-content/uploads/2022/07/Geophysical-Research-Letters-2000-Han-Near‐global-survey-of-cloud-column-susceptibilities-using-ISCCP-data.pdf,Download file},

doi = {10.1029/2000GL011543},

year  = {2000},

date = {2000-01-01},

urldate = {2000-01-01},

journal = {Geophys. Res. Lett.},

volume = {27},

pages = {3221--3224},

keywords = {AEROSOLS, ISCCP},

pubstate = {published},

tppubtype = {article}

}

@article{ro04100j,

title = {Advances in understanding clouds from ISCCP},

author = {W. B. Rossow and R. A. Schiffer},

url = {https://www.williambrossow.com/wp-content/uploads/2022/07/1999_Rossow_ro04100j.pdf, Download fileBAMS1999bB},

doi = {10.1175/1520-0477(1999)080%3C2261%3AAIUCFI%3E2.0.CO;2},

year  = {1999},

date = {1999-01-01},

urldate = {1999-01-01},

journal = {Bull. Amer. Meteorol. Soc.},

volume = {80},

pages = {2261--2288},

keywords = {CLOUD PROPERTIES, ISCCP},

pubstate = {published},

tppubtype = {article}

}

@article{br03000u,

title = {Update of radiance calibrations for ISCCP},

author = {C. L. Brest and W. B. Rossow and M. D. Roiter},

url = {https://www.williambrossow.com/wp-content/uploads/2022/08/1997_Brest_br03000u.pdf, Download file},

doi = {10.1175/1520-0426(1997)014%3C1091%3AUORCFI%3E2.0.CO;2},

year  = {1997},

date = {1997-01-01},

urldate = {1997-01-01},

journal = {J. Atmos. Ocean. Technol.},

volume = {14},

pages = {1091--1109},

keywords = {ISCCP},

pubstate = {published},

tppubtype = {article}

}

@article{li04100j,

title = {Comparison between SAGE II and ISCCP high-level clouds: 2. Locating cloud tops},

author = {X. Liao and W. B. Rossow and D. Rind},

url = {https://www.williambrossow.com/wp-content/uploads/2022/08/1995_Liao_li04100j.pdf, Download file},

doi = {10.1029/94JD02430},

year  = {1995},

date = {1995-01-01},

urldate = {1995-01-01},

journal = {J. Geophys. Res.},

volume = {100},

pages = {1137--1147},

keywords = {CLOUD PROPERTIES, ISCCP},

pubstate = {published},

tppubtype = {article}

}

@article{ro07500u,

title = {Calculation of surface and top-of-atmosphere radiative fluxes from physical quantities based on ISCCP datasets: 2. Validation and first results},

author = {W. B. Rossow and Y. -C. Zhang},

url = {https://www.williambrossow.com/wp-content/uploads/2022/08/1995_Rossow_ro07500u.pdf, Download file},

doi = {10.1029/94JD02746},

year  = {1995},

date = {1995-01-01},

urldate = {1995-01-01},

journal = {J. Geophys. Res.},

volume = {100},

pages = {1167--1197},

keywords = {ISCCP, RADIATION EXCHANGES},

pubstate = {published},

tppubtype = {article}

}

@article{zh02000x,

title = {Calculation of surface and top-of-atmosphere radiative fluxes from physical quantities based on ISCCP datasets: 1. Method and sensitivity to input data uncertainties},

author = {Y. -C. Zhang and W. B. Rossow and A. A. Lacis},

url = {https://www.williambrossow.com/wp-content/uploads/2022/08/1995_Zhang_zh02000x.pdf, Download file},

doi = {10.1029/94JD02747},

year  = {1995},

date = {1995-01-01},

urldate = {1995-01-01},

journal = {J. Geophys. Res.},

volume = {100},

pages = {1149--1165},

keywords = {ISCCP, RADIATION EXCHANGES},

pubstate = {published},

tppubtype = {article}

}

@article{li03100m,

title = {Comparison between SAGE II and ISCCP high-level clouds: 1. Global and zonal mean cloud amounts},

author = {X. Liao and W. B. Rossow and D. Rind},

url = {https://www.williambrossow.com/wp-content/uploads/2022/08/1995_Liao_li03100m.pdf, Download file},

doi = {10.1029/94JD02429},

year  = {1995},

date = {1995-01-01},

urldate = {1995-01-01},

journal = {J. Geophys. Res.},

volume = {100},

pages = {1121--1135},

keywords = {CLOUD PROPERTIES, ISCCP},

pubstate = {published},

tppubtype = {article}

}

@article{ha06800b,

title = {Near-global survey of effective droplet radii in liquid water clouds using ISCCP data},

author = {Q. Han and W. B. Rossow and A. A. Lacis},

url = {https://www.williambrossow.com/wp-content/uploads/2022/08/1994_Han_ha06800b.pdf, Download file},

doi = {10.1175/1520-0442(1994)007%3C0465%3ANGSOED%3E2.0.CO;2},

year  = {1994},

date = {1994-01-01},

urldate = {1994-01-01},

journal = {J. Climate},

volume = {7},

pages = {465--497},

keywords = {CLOUD PROPERTIES, ISCCP},

pubstate = {published},

tppubtype = {article}

}

@article{ro04500f,

title = {Comparison of ISCCP and other cloud amounts},

author = {W. B. Rossow and A. W. Walker and L. C. Garder},

url = {https://www.williambrossow.com/wp-content/uploads/2022/08/1993_Rossow_ro04500f.pdf, Download file},

doi = {10.1175/1520-0442(1993)006%3C2394%3ACOIAOC%3E2.0.CO;2},

year  = {1993},

date = {1993-01-01},

urldate = {1993-01-01},

journal = {J. Climate},

volume = {6},

pages = {2394--2418},

keywords = {CLOUD PROPERTIES, ISCCP},

pubstate = {published},

tppubtype = {article}

}

@article{ro03500i,

title = {Validation of ISCCP cloud detections},

author = {W. B. Rossow and L. C. Garder},

url = {https://www.williambrossow.com/wp-content/uploads/2022/08/1993_Rossow_ro03500i-1.pdf, Download file},

doi = {10.1175/1520-0442(1993)006%3C2370%3AVOICD%3E2.0.CO;2},

year  = {1993},

date = {1993-01-01},

urldate = {1993-01-01},

journal = {J. Climate},

volume = {6},

pages = {2370--2393},

keywords = {ISCCP, SURFACE PROPERTIES},

pubstate = {published},

tppubtype = {article}

}

@article{ro02500l,

title = {Cloud detection using satellite measurements of infrared and visible radiances for ISCCP},

author = {W. B. Rossow and L. C. Garder},

url = {https://www.williambrossow.com/wp-content/uploads/2022/08/1993_Rossow_ro02500l.pdf, Download file},

doi = {10.1175/1520-0442(1993)006%3C2341%3ACDUSMO%3E2.0.CO;2},

year  = {1993},

date = {1993-01-01},

urldate = {1993-01-01},

journal = {J. Climate},

volume = {6},

pages = {2341--2369},

keywords = {ISCCP},

pubstate = {published},

tppubtype = {article}

}

@article{de07000g,

title = {Normalization and calibration of geostationary satellite radiances for the International Satellite Cloud Climatology Project},

author = {Y. Desormeaux and W. B. Rossow and C. L. Brest and G. G. Campbell},

url = {https://www.williambrossow.com/wp-content/uploads/2022/08/1993_Desormeaux_de07000g.pdf},

doi = {10.1175/1520-0426(1993)010%3C0304%3ANACOGS%3E2.0.CO;2},

year  = {1993},

date = {1993-01-01},

urldate = {1993-01-01},

journal = {J. Atmos. Ocean. Technol.},

volume = {10},

pages = {304--325},

keywords = {ISCCP, SATELLITE CALIBRATION},

pubstate = {published},

tppubtype = {article}

}

@article{br03100m,

title = {Radiometric calibration and monitoring of NOAA AVHRR data for ISCCP},

author = {C. L. Brest and W. B. Rossow},

url = {https://www.williambrossow.com/wp-content/uploads/2022/08/1992_Brest_br03100m.pdf, Download file},

doi = {10.1080/01431169208904037},

year  = {1992},

date = {1992-01-01},

urldate = {1992-01-01},

journal = {Int. J. Remote Sens.},

volume = {13},

pages = {235--273},

keywords = {ISCCP, SATELLITE CALIBRATION},

pubstate = {published},

tppubtype = {article}

}

@article{ro05000n,

title = {ISCCP cloud data products},

author = {W. B. Rossow and R. A. Schiffer},

url = {https://www.williambrossow.com/wp-content/uploads/2022/08/1991_Rossow_ro05000n.pdf, Download file},

year  = {1991},

date = {1991-01-01},

urldate = {1991-01-01},

journal = {Bull. Amer. Meteorol. Soc.},

volume = {71},

pages = {2--20},

keywords = {ISCCP, WEATHER STATE},

pubstate = {published},

tppubtype = {article}

}

@article{ro00900o,

title = {Use of operational satellite data for study of clouds and radiation in climate},

author = {W. B. Rossow},

url = {https://www.williambrossow.com/wp-content/uploads/2022/08/1991_Rossow_ro00900o.pdf},

doi = {10.1016/0921-8181(91)90067-7},

year  = {1991},

date = {1991-01-01},

urldate = {1991-01-01},

journal = {Glob. Planet. Change},

volume = {4},

pages = {33--39},

keywords = {ISCCP},

pubstate = {published},

tppubtype = {article}

}

@article{se03000u,

title = {Time cumulated visible and infrared histograms used as descriptors of cloud cover},

author = {G. Seze and W. B. Rossow},

url = {https://www.williambrossow.com/wp-content/uploads/2022/03/1987_Seze_se03000u.pdf, Download file},

doi = {10.1016/0273-1177(87)90138-4},

year  = {1987},

date = {1987-01-01},

urldate = {1987-01-01},

journal = {Adv. Space Res.},

volume = {7},

pages = {155--158},

keywords = {ISCCP},

pubstate = {published},

tppubtype = {article}

}

@article{ra07100z,

title = {The International Satellite Cloud Climatology Project - Preliminary results and its potential aspects},

author = {E. Raschke and W. B. Rossow and R. Schiffer},

url = {https://www.williambrossow.com/wp-content/uploads/2022/08/1987_Raschke_ra07100z.pdf, Download file},

doi = {10.1016/0273-1177(87)90136-0},

year  = {1987},

date = {1987-01-01},

urldate = {1987-01-01},

journal = {Adv. Space Res.},

volume = {7},

pages = {137--145},

keywords = {ISCCP},

pubstate = {published},

tppubtype = {article}

}

@article{sc02000x,

title = {ISCCP global radiance data set: A new resource for climate research},

author = {R. A. Schiffer and W. B. Rossow},

url = {https://www.williambrossow.com/wp-content/uploads/2022/03/1985_Schiffer_sc02000x.pdf, Download file},

doi = {10.1175/1520-0477(1985)066%3C1498%3AIGRDSA%3E2.0.CO;2},

year  = {1985},

date = {1985-01-01},

urldate = {1985-01-01},

journal = {Bull. Amer. Meteorol. Soc.},

volume = {66},

pages = {1498--1505},

keywords = {ISCCP},

pubstate = {published},

tppubtype = {article}

}

@article{Rossow1985-vn,

title = {ISCCP cloud analysis algorithm intercomparison},

author = {W B Rossow and F Mosher and E Kinsella and A Arking and M Desbois and E Harrison and P Minnis and E Ruprecht and G S`eze and E Smith},

url = {https://www.williambrossow.com/wp-content/uploads/2022/03/1985_Rossow_ro08300g.pdf, Download file},

year  = {1985},

date = {1985-01-01},

urldate = {1985-01-01},

journal = {\"{A}dv. Space Res.},

volume = {5},

number = {6},

pages = {185},

publisher = {Elsevier BV},

abstract = {The International Satellite Cloud Climatology Project (ISCCP) 

 will provide a uniform global climatology of satellite-measured 

 radiances and derive a climatology of cloud radiative properties 

 from these radiances. For this purpose, a pilot study of cloud 

 analysis algorithms was initiated to define a state-of-the-art 

 algorithm for ISCCP. This study compared the results of applying 

 the nine different algorithms to the same satellite radiance 

 data. The comparison allowed for a sharper understanding of the 

 process of detecting clouds and shows that all algorithms can be 

 improved by better information about clear sky radiance values 

 (essentially equivalent to surface property information) and by 

 better understanding of cloud size distribution variations. The 

 dependence of all methods on cloud size distribution led to 

 selection of an advanced bispectral threshold technique for 

 ISCCP because this method is currently better understood and 

 more developed. Further research on cloud algorithms is clearly 

 suggested by these results.},

keywords = {ISCCP},

pubstate = {published},

tppubtype = {article}

}