Next Article in Journal
Remote Sensing Image Scene Classification Using Multi-Scale Completed Local Binary Patterns and Fisher Vectors
Next Article in Special Issue
Using the NASA EOS A-Train to Probe the Performance of the NOAA PATMOS-x Cloud Fraction CDR
Previous Article in Journal
An Object-Based Paddy Rice Classification Using Multi-Spectral Data and Crop Phenology in Assam, Northeast India
Previous Article in Special Issue
PATMOS-x Cloud Climate Record Trend Sensitivity to Reanalysis Products
Article Menu

Export Article

Open AccessArticle
Remote Sens. 2016, 8(6), 485; doi:10.3390/rs8060485

An Assessment of HIRS Surface Air Temperature with USCRN Data

1
NOAA’s Cooperative Institute for Climate and Satellites, North Carolina (CICS-NC), NC State University, Asheville, NC 28801, USA
2
NOAA’s National Centers for Environmental Information (NCEI), Asheville, NC 28801, USA
*
Author to whom correspondence should be addressed.
Academic Editors: Xuepeng Zhao, Wenze Yang, Viju John, Hui Lu, Ken Knapp, Zhaoliang Li and Prasad S. Thenkabail
Received: 29 January 2016 / Revised: 19 May 2016 / Accepted: 27 May 2016 / Published: 8 June 2016
(This article belongs to the Special Issue Satellite Climate Data Records and Applications)
View Full-Text   |   Download PDF [3289 KB, uploaded 8 June 2016]   |  

Abstract

The surface air temperature retrievals from the High Resolution Infrared Radiation Sounder (HIRS) are evaluated by using observations from the U.S. Climate Reference Network (USCRN) for the period of 2006 to 2013. One year of the USCRN data is also used as ground truth in calibrating retrieval biases. The final retrieval results show that mean biases of HIRS retrievals from comparisons to all surface stations for each year are mostly in the range of ±0.2 °C, and the root mean square difference (RMSD) values are 3.2–3.5 °C. Results for biases of individual stations are mostly within ±2 °C. In average, RMSDs are smaller over the eastern U.S. than over the western U.S., smaller at nighttime than at daytime, and smaller at lower elevations. The comparison patterns are consistent from year to year and for different satellites, showing the potential of HIRS data for long-term studies. View Full-Text
Keywords: HIRS; USCRN; surface air temperature HIRS; USCRN; surface air temperature
Figures

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Stegall, S.T.; Shi, L. An Assessment of HIRS Surface Air Temperature with USCRN Data. Remote Sens. 2016, 8, 485.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Remote Sens. EISSN 2072-4292 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top