The International Satellite Cloud Climatology Project H-Series Climate Data Record Product

Abstract

Abstract. This paper describes the new global long-term, International Satellite Cloud Climatology Project (ISCCP) H-Series climate data record (CDR). The H-Series data contains a suite of level 2 and level 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 spans from July 1983 to Dec 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 spans from July 1983 through December 2009. Key refinements included to 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.

Survival and growth of northern bobwhite offspring post‐translocation

“…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 2002). Average daily temperature ranges for Brunswick County ranged from 18°−34°C in June−September (Young et al 2018). 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 2018).…”

“…Average daily temperature ranges for Brunswick County ranged from 18°−34°C in June−September (Young et al 2018). 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 2018). 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).…”

Quantifying Changes in Plant Species Diversity in a Savanna Ecosystem Through Observed and Remotely Sensed Data

“…Rainfall and temperature data for weather stations within the province were obtained from the Zimbabwe Meteorological Services Department (ZMSD). The dataset obtained from the ZMSD was complemented by data from the National Centres for Environmental Information (NCEI), which is managed under National Oceanic and Atmospheric Administration (NOAA) programs for preserving, monitoring, and provision of climate and the historic weather data [39]. To be able to use both datasets, we compared through regression analysis, which showed a strong relationship (r = 0.95; R 2 = 0.91) for both variables.…”

What Causes the Postmonsoon 18O Depletion Over Bay of Bengal Head and Beyond?

“…Cloud-top pressure (CTP) data from the International Satellite Cloud Climatology Project (ISCCP) H-series products with a 1°×1°and 3-hourly resolution (Young et al, 2018) were used to measure convection intensity. Besides, we used the following datasets to characterize precipitation, total column moisture flux, and atmospheric circulation: the precipitation data from version 7 of the Tropical Rainfall Measuring Mission (TRMM) Multi-Satellite Precipitation Analysis (3B42) at 0.25°×0.25°resolution (Huffman et al, 2007) and the ERA-Interim data with a resolution of 0.75°×0.75° (Dee et al, 2011).…”