U.S. Climate Reference Network after one decade of operations: Status and assessment
Open accessAbstract
The year 2012 marks a decade of observations undertaken by the U.S. Climate Reference Network (USCRN) under the auspices of NOAA's National Climatic Data Center and Atmospheric Turbulence and Diffusion Division. The network consists of 114 sites across the conterminous 48 states, with additional sites in Alaska and Hawaii. Stations are installed in open (where possible), rural sites very likely to have stable land-cover/use conditions for several decades to come. At each site a suite of meteorological parameters are monitored, including triple redundancy for the primary air temperature and precipitation variables and for soil moisture/temperature. Instrumentation is regularly calibrated to National Institute for Standards and Technology (NIST) standards and maintained by a staff of expert engineers. This attention to detail in USCRN is intended to ensure the creation of an unimpeachable record of changes in surface climate over the United States for decades to come. Data are made available without restriction for all public, private, and government use. This article describes the rationale for the USCRN, its implementation, and some of the highlights of the first decade of operations. One critical use of these observations is as an independent data source to verify the existing U.S. temperature record derived from networks corrected for nonhomogenous histories. Future directions for the network are also discussed, including the applicability of USCRN approaches for networks monitoring climate at scales from regional to global. Constructive feedback from end users will allow for continued improvement of USCRN in the future and ensure that it continues to meet stakeholder requirements for precise climate measurements.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The PHA has been shown to improve the accuracy of anomalies and trends in real data when compared to observations from the U.S. Climate Reference Network.
“The algorithm has also been shown to improve the accuracy of anomalies and trends in real data when compared to observations from the U.S. Climate Reference Network (Hausfather et al. 2016), whose stations meet the highest station siting standards and are managed to prevent changes that cause shifts in the data (Diamond et al. 2013).”
From The Global Historical Climatology Network Monthly Temperature Dataset, Version 4 (2018) · cites this paper as Diamond et al. 2013
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
How Well Are We Measuring Snow: The NOAA/FAA/NCAR Winter Precipitation Test Bed
Rasmussen, R., Baker, B., Kochendorfer, J., Meyers, T. P., Landolt, S., Fischer, A. P., Black, J., Thériault, J. M., Kucera, P. A., Gochis, D., et al. (2011) · Bulletin of the American Meteorological Society · doi:10.1175/bams-d-11-00052.1 · Cited by 699 · see citing works
Self-citationBenchmarking homogenization algorithms for monthly data
Venema, V. K. C., Mestre, O., Aguilar, E., Auer, I., Guijarro, J. A., Domonkos, P., Vertacnik, G., Szentimrey, T., Stepanek, P., Zahradnicek, P., et al. (2012) · Climate of the Past · doi:10.5194/cp-8-89-2012 · Cited by 368 · see citing works
NOAA's 1981–2010 U.S. Climate Normals: An Overview
Argüez, A., Durre, I., Applequist, S., Vose, R. S., Squires, M. F., Yin, X., Heim, R. R., & Owen, T. W. (2012) · Bulletin of the American Meteorological Society · doi:10.1175/bams-d-11-00197.1 · Cited by 325 · see citing works
The U.S. Historical Climatology Network Monthly Temperature Data, Version 2
Menne, M. J., Williams, C. N., & Vose, R. S. (2009) · Bulletin of the American Meteorological Society · doi:10.1175/2008bams2613.1 · Cited by 300 · see citing works
Dielectric Loss and Calibration of the Hydra Probe Soil Water Sensor
Seyfried, M. S., Grant, L., Du, E., et al. (2005) · Vadose Zone Journal · doi:10.2136/vzj2004.0148 · Cited by 239 · see citing works
Gallo, K. P., Hale, R., Tarpley, D., & Yu, Y. (2010) · Journal of Applied Meteorology and Climatology · doi:10.1175/2010jamc2460.1 · Cited by 193 · see citing works
Reference Upper-Air Observations for Climate: Rationale, Progress, and Plans
Seidel, D. J., Berger, F. H., Diamond, H. J., et al. (2008) · Bulletin of the American Meteorological Society · doi:10.1175/2008bams2540.1 · Cited by 176 · see citing works
Self-citationGuillevic, P., Privette, J. L., Coudert, B., Palecki, M. A., Demarty, J., Ottlé, C., & Augustine, J. A. (2012) · Remote Sensing of Environment · doi:10.1016/j.rse.2012.05.004 · Cited by 135 · see citing works
Self-citationPeterson, T. C., Karl, T. R., Jamason, P., Knight, R. W., & Easterling, D. R. (1998) · Journal of Geophysical Research Atmospheres · doi:10.1029/98jd01168 · Cited by 130 · see citing works
Self-citationBenchmarking the performance of pairwise homogenization of surface temperatures in the United States
Williams, C. N., Menne, M. J., & Thorne, P. W. (2012) · Journal of Geophysical Research: Atmospheres · doi:10.1029/2011jd016761 · Cited by 121 · see citing works
Self-citationOn the reliability of the U.S. surface temperature record
Menne, M., Williams, C., & Palecki, M. (2010) · Journal of Geophysical Research Atmospheres · doi:10.1029/2009jd013094 · Cited by 120 · see citing works
Self-citationCollow, T. W., Robock, A. D., Basara, J. B., et al. (2012) · Journal of Geophysical Research Atmospheres · doi:10.1029/2011jd017095 · Cited by 119 · see citing works
Critical issues for long-term climate monitoring
Karl, T. R., Derr, V. E., Easterling, D. R., Folland, C. K., Hofmann, D. J., Levitus, S., Nicholls, N., Parker, D. E., & Withee, G. W. (1995) · Climatic Change · doi:10.1007/bf01095146 · Cited by 111 · see citing works
Self-citationValidation of GOES-Based Insolation Estimates Using Data from the U.S. Climate Reference Network
Otkin, J. A., Anderson, M. C., Mecikalski, J. R., et al. (2005) · Journal of Hydrometeorology · doi:10.1175/jhm440.1 · Cited by 80 · see citing works
An evaluation of the time of observation bias adjustment in the U.S. Historical Climatology Network
Vose, R. S., Williams, C. N., Peterson, T. C., Karl, T. R., & Easterling, D. R. (2003) · Geophysical Research Letters · doi:10.1029/2003gl018111 · Cited by 63 · see citing works
Self-citationThe Need for a Systems Approach to Climate Observations
Trenberth, K. E., Karl, T. R., & Spence, T. W. (2002) · Bulletin of the American Meteorological Society · doi:10.1175/bams-83-11-1593 · Cited by 50 · see citing works
Self-citationEvaluation of Temperature Differences for Paired Stations of the U.S. Climate Reference Network
Gallo, K. P. (2005) · Journal of Climate · doi:10.1175/jcli3358.1 · Cited by 34 · see citing works
What is monthly mean land surface air temperature?
Zeng, X., & Wang, A. (2012) · Eos · doi:10.1029/2012eo150006 · Cited by 27 · see citing works
Reference Station Networks for Monitoring Climatic Change in the Conterminous United States
Vose, R. S. (2005) · Journal of Climate · doi:10.1175/jcli3600.1 · Cited by 15 · see citing works
Observing Climate at High Elevations Using United States Climate Reference Network Approaches
Palecki, M. A., & Groisman, P. (2011) · Journal of Hydrometeorology · doi:10.1175/2011jhm1335.1 · Cited by 13 · see citing works
Self-citationEstimating temperature normals for USCRN stations
Sun, B., & Peterson, T. C. (2005) · International Journal of Climatology · doi:10.1002/joc.1220 · Cited by 10 · see citing works
Estimating precipitation normals for USCRN stations
Sun, B., & Peterson, T. C. (2006) · Journal of Geophysical Research Atmospheres · doi:10.1029/2005jd006245 · Cited by 5 · see citing works
McHugh, M. (2004) · doi:10.1175/1520-0442(2004)017
Northern Hemisphere surface air temperature variations: 1851–1984.
Jones, P. D., Raper, S. C. B., Bradley, R. S., Diaz, H. F., Kellyo, P. M., & Wigley, T. M. L. (1986) · Journal of Climate and Applied Meteorology · doi:10.1175/1520-0450(1986)025
Flagged first, then by citations
Research works printed but not linked: 1
- [13]13. NRC, 1999: Adequacy of Climate Observing Systems. National Academy Press, 51 pp.
Cited by
Sorted by citations
The Global Historical Climatology Network Monthly Temperature Dataset, Version 4
Menne, M. J., Williams, C. N., Gleason, B. E., Rennie, J. J., & Lawrimore, J. H. (2018) · Journal of Climate · doi:10.1175/jcli-d-18-0094.1 · Cited by 281 · see citing works
“…improve the accuracy of anomalies and trends in real data when compared to observations from the U.S. Climate Reference Network (Hausfather et al. 2016), whose stations meet the highest station siting standards and are managed to prevent changes that cause shifts in the data (Diamond et al. 2013).”
ResultHausfather, Z., Cowtan, K., Menne, M. J., & Williams, C. N. (2016) · Geophysical Research Letters · doi:10.1002/2015gl067640 · Cited by 32 · see citing works
Mukherjee, A., & Sanders, N. (2021) · doi:10.3386/w28987 · Cited by 19 · see citing works
- Authors
- Diamond, H. J., Karl, T. R., Palecki, M. A., Baker, C. B., Bell, J. E., Leeper, R. D., Easterling, D. R., Lawrimore, J. H., Meyers, T. P., Helfert, M. R., Goodge, G., & Thorne, P. W.
- Affiliations
- National Oceanic and Atmospheric Administration (US)
- NOAA Air Resources Laboratory (US)
- North Carolina State University (US)
- Corresponding author
- Diamond, Howard J.
- ORCID
- Venue
- Bulletin of the American Meteorological Society
- Publisher
- American Meteorological Society
- Published
- 2013-04-01
- Volume
- 94
- Issue
- 4
- Pages
- 485-498
- ISSN
- 0003-0007 (ISSN-L)
- 1520-0477
- OpenAlex
- W2097434015
- Semantic Scholar
- 8814bc0a5cbef6b3171018d831fa116fdd8b1818
- Cited by
- 415
- References
- 24
- Citations by year
- 2026: 23 · 2025: 27 · 2024: 29 · 2023: 43 · 2022: 36 · 2021: 39 · 2020: 50 · 2019: 31 · 2018: 36 · 2017: 27 · 2016: 34 · 2015: 22 · 2014: 10 · 2013: 8
- FWCI
- 18.71
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Bulletin of the American Meteorological Society (publishedVersion)
- Maynooth University ePrints and eTheses Archive (Maynooth University) (acceptedVersion)
- Funders
- Office of Science
- Climate Program Office
- Topics
- Physical Sciences › Environmental Science › Global and Planetary Change › Climate variability and models
- Physical Sciences › Environmental Science › Environmental Engineering › Urban Heat Island Mitigation
- Physical Sciences › Engineering › Aerospace Engineering › Calibration and Measurement Techniques
- Keywords
- U.S. Climate Reference Network, air temperature, precipitation, soil moisture, soil temperature, instrument calibration, NIST standards, climate data record, long-term climate monitoring
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review