Dataset for "Challenges in quantifying air–water carbon dioxide flux using estuarine water quality data: Case study for Chesapeake Bay" Public

Journal of Geophysical Research - Oceans, Accepted Paper #2019JC015610R

Journal of Geophysical Research - Oceans, Accepted Paper #2019JC015610R. Estuaries play an uncertain but potentially important role in the global carbon cycle via CO2 outgassing. The uncertainty mainly stems from the paucity of studies that document the full spatial and temporal variability of estuarine surface-water partial pressure of carbon dioxide (pCO2). Here, we explore the potential of utilizing the abundance of pH data from historical water quality monitoring programs to fill the data void via a case study of the mainstem Chesapeake Bay (eastern United States). We calculate pCO2 and the air–water CO2 flux at monthly resolution from 1998 to 2018 from tidal fresh to polyhaline waters, paying special attention to the error estimation. The biggest error is due to the pH measurement error, and errors due to the gas transfer velocity, temporal sampling, the alkalinity mixing model, and the organic alkalinity estimation are 72, 27, 15, and 5%, respectively, of the error due to pH. Seasonal, interannual, and spatial variability in the air–water flux and surface pCO2 is high, and a correlation analysis with oxygen reveals that this variability is driven largely by biological processes. Averaged over 1998–2018, the mainstem bay is a weak net source of CO2 to the atmosphere of 1.2 (1.1, 1.3) mol m–2 yr–1 (best estimate and 95% confidence interval). Our findings suggest that the abundance of historical pH measurements in estuaries around the globe should be mined in order to constrain the large spatial and temporal variability of the CO2 exchange between estuaries and the atmosphere.

README

This README.md file was generated on 20200520 by Maria Herrmann

General Information

Title:

Data for "Challenges in quantifying air?water carbon dioxide flux using
estuarine water quality data: Case study for Chesapeake Bay",
Journal of Geophysical Research - Oceans DOI: .

Author Information:

  • Principal Investigator: M. Herrmann (mxh367@psu.edu)
  • Associate or Co-investigators: R. G. Najjar (rgn1@psu.edu), F. Da, S. Goldberger, J. Friedman, M. A. M. Friedrichs, A. Menendez, E. H. Shadwick, E. G. Stets, and P. St-Laurent

Date of data collection/creation:

The data cover the period between 1998 and 2018

Geographic location of data collection:

Chesapeake Bay, longitude range: -78E to -75E, latitude range: 36N to 40N

Sharing/Access Information

License & restrictions on data reuse:

Creative Commons Attribution 4.0 International (CC BY 4.0)

Recommended citation for the data:

M. Herrmann, R. G. Najjar, F. Da, S. Goldberger, J. Friedman,
M. A. M. Friedrichs, A. Menendez, E. H. Shadwick, E. G. Stets,
and P. St-Laurent, 2020. Dataset for "Challenges in quantifying air?water
carbon dioxide flux using estuarine water quality data: Case study for
Chesapeake Bay", Penn State Scholar Sphere, DOI:10.26207/bm5n-n185

Related publications:

M. Herrmann, R. G. Najjar, F. Da, S. Goldberger, J. Friedman,
M. A. M. Friedrichs, A. Menendez, E. H. Shadwick, E. G. Stets,
and P. St-Laurent, 2020. Challenges in quantifying air?water
carbon dioxide flux using estuarine water quality data: Case study for
Chesapeake Bay, Journal of Geophysical Research - Oceans, DOI: .

Data & File Overview

File list:

  1. results-pco2-gasex.nc: calculated monthly pCO2 and CO2 flux in the Chesapeake Bay mainstem, separated into 8 segments and for the total bay (point estimates and Monte Carlo ensembles)
  2. atmosph-apres-wspd2_xco2.nc: atmospheric data (squared wind speed, atmospheric pressure, and CO2 mole fraction) used as inputs to the CO2 flux calculation; also provided are intermediate calculation results (pCO2air, CO2 solubility, and gas transfer velocity)
  3. nontidal-susquehanna-alk-dic: alkalinity and DIC at non-tidal station in the Susquehanna River at Conowingo, Maryland (USGS gauge number 01578310)
  4. tidal-33stations-database.nc: measured (Chesapeake Bay Program) and calculated variables at the 33 tidal stations in the Chesapeake Bay mainstem (temp, salt, oxysu, ph, alk); at surface; at native time resolution of the Chesapeake Bay Program
  5. shadwick2019a-buoy-pco2.nc: hourly pCO2 calculated from the high-frequency measurements of temperature, salinity, and pH at the York River buoy (Shadwick et al. 2019a)
  6. shadwick2019b-cruises-alk-dic.nc: surface alkalinity and DIC measurements from 2016-2018 cruises in the Chesapeake Bay mainstem (Shadwick et al. 2019b)
  7. cbp-cruises-alk.nc: surface alkalinity measurements from 1986-1991 cruises in the Chesapeake Bay mainstem (Chesapeake Bay Program)

Additional notes:

The data were derived from the Chesapeake Bay program's Water Quality
Database (http://data.chesapeakebay.net/WaterQuality), United States Geological
Survey monitoring data (https://nwis.waterdata.usgs.gov/nwis), North American Regional Reanalysis,
World Data Centre for Greenhouse Gases, and 2016-2018 measurements reported in Shadwick et al. 2019a,b.

File/Format-Specific Information

See attributes in individual NetCDF data files.

Methodological Information

See methods and supplementary information in the manuscript.

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Items in this Work

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User Seth R Erickson has updated Dataset for "Challenges in quantifying air–water carbon dioxide flux using estuarine water quality data: Case study for Chesapeake Bay" about 1 month ago
User Maria Herrmann has attached /concern/file_sets/wdb78tf287 to Dataset for "Challenges in quantifying air–water carbon dioxide flux using estuarine water quality data: Case study for Chesapeake Bay" about 2 months ago
User Maria Herrmann has updated Dataset for "Challenges in quantifying air–water carbon dioxide flux using estuarine water quality data: Case study for Chesapeake Bay" about 2 months ago
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User Maria Herrmann has updated Dataset for "Challenges in quantifying air–water carbon dioxide flux using estuarine water quality data: Case study for Chesapeake Bay" about 2 months ago
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User Maria Herrmann has attached README.txt to Dataset for "Challenges in quantifying air–water carbon dioxide flux using estuarine water quality data: Case study for Chesapeake Bay" about 2 months ago
User Maria Herrmann has updated Dataset for "Challenges in quantifying air–water carbon dioxide flux using estuarine water quality data: Case study for Chesapeake Bay" about 2 months ago
User Maria Herrmann has attached README.txt to Dataset for "Challenges in quantifying air–water carbon dioxide flux using estuarine water quality data: Case study for Chesapeake Bay" about 2 months ago
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