The Stratospheric Water and Ozone Satellite Homogenized (SWOOSH) database: A long-term database for climate studies

Abstract. In this paper, we describe the construction of the Stratospheric Water and Ozone Satellite Homogenized (SWOOSH) database, which includes vertically resolved ozone and water vapor data from limb profiling satellite instruments operating since the 1980’s. SWOOSH includes both individual satellite source data as well as a merged data product. A key aspect of the merged product is that the source records are homogenized to account for inter-satellite biases and to minimize artificial jumps in the record. We describe the SWOOSH homogenization process, which involves adjusting the satellite data records to a “reference” satellite using coincident observations during time periods of instrument overlap. The reference satellite is chosen based on the best agreement with independent balloon-based sounding measurements, with the goal of producing a long-term data record that is both homogeneous and accurate. This paper details the choice of reference measurements, homogenization, and gridding process involved in the construction of the combined SWOOSH product, and also presents the ancillary information stored in SWOOSH that can be used in future studies of water vapor and ozone variability. Furthermore, a discussion of uncertainties in the combined SWOOSH record is presented, and examples of the SWOOSH record are provided to illustrate its use for studies of ozone and water vapor variability on interannual to decadal time scales. The version 2.5 SWOOSH data are publicly available at https://data.noaa.gov/dataset/stratospheric-water-and-ozone-satellite-homogenized-swoosh-data-set.

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The Stratospheric Water and Ozone Satellite Homogenized (SWOOSH) database: a long-term database for climate studies

Earth System Science Data ◽

10.5194/essd-8-461-2016 ◽

2016 ◽

Vol 8 (2) ◽

pp. 461-490 ◽

Cited By ~ 60

Author(s):

Sean M. Davis ◽

Karen H. Rosenlof ◽

Birgit Hassler ◽

Dale F. Hurst ◽

William G. Read ◽

...

Keyword(s):

Water Vapor ◽

Future Studies ◽

Source Data ◽

Reference Satellite ◽

Data Record ◽

Reference Measurements ◽

Climate Studies ◽

Mean Time ◽

Term Data

Abstract. In this paper, we describe the construction of the Stratospheric Water and Ozone Satellite Homogenized (SWOOSH) database, which includes vertically resolved ozone and water vapor data from a subset of the limb profiling satellite instruments operating since the 1980s. The primary SWOOSH products are zonal-mean monthly-mean time series of water vapor and ozone mixing ratio on pressure levels (12 levels per decade from 316 to 1 hPa). The SWOOSH pressure level products are provided on several independent zonal-mean grids (2.5, 5, and 10°), and additional products include two coarse 3-D griddings (30° long  ×  10° lat, 20°  ×  5°) as well as a zonal-mean isentropic product. SWOOSH includes both individual satellite source data as well as a merged data product. A key aspect of the merged product is that the source records are homogenized to account for inter-satellite biases and to minimize artificial jumps in the record. We describe the SWOOSH homogenization process, which involves adjusting the satellite data records to a “reference” satellite using coincident observations during time periods of instrument overlap. The reference satellite is chosen based on the best agreement with independent balloon-based sounding measurements, with the goal of producing a long-term data record that is both homogeneous (i.e., with minimal artificial jumps in time) and accurate (i.e., unbiased). This paper details the choice of reference measurements, homogenization, and gridding process involved in the construction of the combined SWOOSH product and also presents the ancillary information stored in SWOOSH that can be used in future studies of water vapor and ozone variability. Furthermore, a discussion of uncertainties in the combined SWOOSH record is presented, and examples of the SWOOSH record are provided to illustrate its use for studies of ozone and water vapor variability on interannual to decadal timescales. The version 2.5 SWOOSH data are publicly available at doi:10.7289/V5TD9VBX.

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Validation of ozone monthly zonal mean profiles obtained from the version 8.6 Solar Backscatter Ultraviolet algorithm

Atmospheric Chemistry and Physics ◽

10.5194/acp-13-6887-2013 ◽

2013 ◽

Vol 13 (14) ◽

pp. 6887-6905 ◽

Cited By ~ 30

Author(s):

N. A. Kramarova ◽

S. M. Frith ◽

P. K. Bhartia ◽

R. D. McPeters ◽

S. L. Taylor ◽

...

Keyword(s):

Potential Effect ◽

Stratospheric Aerosol ◽

Data Set ◽

Long Term Stability ◽

Record Data ◽

Data Record ◽

The Mean ◽

Climate Studies ◽

Combined Data

Abstract. We present the validation of ozone profiles from a number of Solar Backscatter Ultraviolet (SBUV and SBUV/2) instruments that were recently reprocessed using an updated (version 8.6) algorithm. The SBUV data record spans a 41 yr period from 1970 to 2011 with a 5 yr gap in the 1970s. The ultimate goal is to create a consistent, well-calibrated data set of ozone profiles that can be used for climate studies and trend analyses. SBUV ozone profiles have been intensively validated against satellite profile measurements from the Microwave Limb Sounders (MLS) (on board the UARS and Aura satellites) and the Stratospheric Aerosol and Gas Experiment (SAGE II) and ground-based observations from the microwave spectrometers, lidars, Umkehr instruments and balloon-borne ozonesondes. In the stratosphere between 25 and 1 hPa the mean biases and standard deviations are mostly within 5% for monthly zonal mean ozone profiles. Above and below this layer the vertical resolution of the SBUV algorithm decreases. We combine several layers of data in the troposphere/lower stratosphere to account for the lower resolution. The bias in the SBUV tropospheric/lower stratospheric combined layer relative to similarly integrated columns from Aura MLS, ozonesonde and Umkehr instruments varies within 5%. We also estimate the drift of the SBUV instruments and their potential effect on the long-term stability of the combined data record. Data from the SBUV instruments that collectively cover the 1980s and 2000s are very stable, with drifts mostly less than 0.5% per year. The features of individual SBUV(/2) instruments are discussed and recommendations for creating a merged SBUV data set are provided.

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Validation of ozone monthly zonal mean profiles obtained from the Version 8.6 Solar Backscatter Ultraviolet algorithm

Atmospheric Chemistry and Physics Discussions ◽

10.5194/acpd-13-2549-2013 ◽

2013 ◽

Vol 13 (1) ◽

pp. 2549-2597 ◽

Cited By ~ 5

Author(s):

N. A. Kramarova ◽

S. M. Frith ◽

P. K. Bhartia ◽

R. D. McPeters ◽

S. L. Taylor ◽

...

Keyword(s):

Potential Effect ◽

Stratospheric Aerosol ◽

Data Set ◽

Long Term Stability ◽

Record Data ◽

Data Record ◽

The Mean ◽

Climate Studies ◽

Combined Data

Abstract. We present validation of ozone profiles from a number of Solar Backscatter Ultraviolet (SBUV and SBUV/2) instruments that were recently reprocessed using an updated (Version 8.6) algorithm. The SBUV data record spans a 41-yr period from 1970 to 2011 with a 5-yr gap in the 1970s. The ultimate goal is to create a consistent, well-calibrated dataset of ozone profiles that can be used for climate studies and trend analyses. SBUV ozone profiles have been intensively validated against satellite profile measurements from the Microwave Limb Sounders (MLS) (on board UARS and Aura satellites) and the Stratospheric Aerosol and Gas Experiment (SAGE II) and ground-based observations from the microwave spectrometers, lidars, Umkehr instruments and balloon-borne ozonesondes. In the stratosphere between 25 and 1 hPa the mean biases and standard deviations are mostly within 5% for monthly zonal mean ozone profiles. Above and below this layer the vertical resolution of the SBUV algorithm decreases. We combine several layers of data in the troposphere/lower stratosphere to account for the lower resolution. The bias in the SBUV tropospheric/lower stratospheric combined layer relative to similarly integrated columns from Aura MLS, ozonesonde and Umkehr instruments varies within 5%. We also estimate drifts in the SBUV instruments and their potential effect on the long-term stability of the combined data record. Data from the SBUV instruments that collectively cover the 1980s and 2000s are very stable, with drifts mostly less than 0.5% yr−1. The features of individual SBUV(/2) instruments are discussed and recommendations for creating the merged SBUV data set are provided.

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A long-term Northern Hemisphere snow cover extent data record for climate studies and monitoring

Earth System Science Data ◽

10.5194/essd-7-137-2015 ◽

2015 ◽

Vol 7 (1) ◽

pp. 137-142 ◽

Cited By ~ 107

Author(s):

T. W. Estilow ◽

A. H. Young ◽

D. A. Robinson

Keyword(s):

Snow Cover ◽

Northern Hemisphere ◽

Environmental Data ◽

Climate Data ◽

Data Set ◽

Snow Cover Extent ◽

Data Record ◽

Climate Data Record ◽

Climate Studies

Abstract. This paper describes the long-term, satellite-based visible snow cover extent National Oceanic and Atmospheric Administration (NOAA) climate data record (CDR) currently available for climate studies, monitoring, and model validation. This environmental data product is developed from weekly Northern Hemisphere snow cover extent data that have been digitized from snow cover maps onto a Cartesian grid draped over a polar stereographic projection. The data have a spatial resolution of 190.6 km at 60° latitude, are updated monthly, and span the period from 4 October 1966 to the present. The data comprise the longest satellite-based CDR of any environmental variable. Access to the data is provided in Network Common Data Form (netCDF) and archived by NOAA's National Climatic Data Center (NCDC) under the satellite Climate Data Record Program (doi:10.7289/V5N014G9). The basic characteristics, history, and evolution of the data set are presented herein. In general, the CDR provides similar spatial and temporal variability to its widely used predecessor product. Key refinements included in the CDR improve the product's grid accuracy and documentation and bring metadata into compliance with current standards for climate data records.

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Insights Into Fire-based Soil Temperature and Moisture Changes From a Long-term Data Set in Alaska

10.1002/essoar.10505527.1 ◽

2021 ◽

Author(s):

Kristen Manies ◽

Jennifer Harden ◽

William Cable ◽

Jamie Hollingsworth

Keyword(s):

Soil Temperature ◽

Data Set ◽

Term Data ◽

Soil Temperature And Moisture

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Trophic Level Relationships in Pelagic Food Webs: Comparisons Derived from Long-Term Data Sets for Oneida Lake, New York (USA), and Lake St. George, Ontario (Canada)

Canadian Journal of Fisheries and Aquatic Sciences ◽

10.1139/f92-177 ◽

1992 ◽

Vol 49 (8) ◽

pp. 1588-1596 ◽

Cited By ~ 19

Author(s):

Donald J. McQueen ◽

Edward L. Mills ◽

John L. Forney ◽

Mark R. S. Johannes ◽

John R. Post

Keyword(s):

New York ◽

Total Phosphorus ◽

Trophic Level ◽

Data Sets ◽

Phytoplankton Abundance ◽

Data Set ◽

Oneida Lake ◽

Pelagic Food Webs ◽

Term Data

We used standardized methods to analyze a 14-yr data set from Oneida Lake and a 10-yr data set from Lake St. George. We estimated mean summer concentrations of several trophic level indicators including piscivores, planktivores, zooplankton, phytoplankton, and total phosphorus, and we then investigated the relationships between these variables. Both data sets yielded similar long-term and short-term trends. The long-term mean annual trends were that (1) the relationships between concentrations of planktivores and zooplankton (including daphnids) were always negative, (2) the relationships between concentrations of zooplankton and various measures of phytoplankton abundance were unpredictable and never statistically significant, and (3) the relationships between total phosphorus and various measures of phytoplankton abundance were always positive. Over short periods, the data from both lakes showed periodic, strong top-down relationships between concentrations of zooplankton (especially large Daphnia) and chlorophyll a, but these events were unpredictable and were seldom related to piscivore abundance.

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