John R. Lanzante

Publication List Details

Period

1996 - 2009

Number

11

Co-Authors

2004: An assessment of three alternatives to linear trends for characterizing global atmospheric temperature changes (2009)

Dian J. Seidel, John R. Lanzante

[1] Historical changes in global atmospheric temperature are typically estimated using simple linear trends. This paper considers three alternative simple statistical models, each involving...

2002: The atmospheric bridge: The influence of ENSO teleconnections on air–sea interaction over the global oceans (2009)

Michael A. Alexander, Ileana Bladé, Matthew Newman, John R. Lanzante, Ngar-cheung Lau, James D. Scott

During El Niño–Southern Oscillation (ENSO) events, the atmospheric response to sea surface temperature (SST) anomalies in the equatorial Pacific influences ocean conditions over the remainder of...

2003: Temporal homogenization of monthly radiosonde temperature data. Part II: Trends, sensitivity, and MSU comparison (2009)

John R. Lanzante, A. Klein, Dian J. Seidel

Trends in radiosonde-based temperatures and lower-tropospheric lapse rates are presented for the time periods 1959–97 and 1979–97, including their vertical, horizontal, and seasonal variations. A...

Revision for International Journal of Climatology (2007)

John R. Lanzante, John R. Lanzante

Basic traditional parametric statistical techniques are used widely in climate studies for characterizing the level (central tendency) and variability of variables, assessing linear relationships...

Comparison of Radiosonde and GCM Vertical Temperature Trend Profiles: Effects of Dataset Choice and Data Homogenization* (2007)

John R. Lanzante, Melissa Free

In comparisons of radiosonde vertical temperature trend profiles with comparable profiles derived from selected Intergovernmental Panel on Climate Change (IPCC) Fourth Assessment Report (AR4) general...

5356 JOURNAL OF CLIMATE VOLUME 20 Diagnosis of Radiosonde Vertical Temperature Trend Profiles: Comparing the Influence of Data Homogenization versus Model Forcings (2006)

John R. Lanzante

Measurements from radiosonde temperatures have been used in studies that seek to identify the human influence on climate. However, such measurements are known to be contaminated by artificial...

1SEPTEMBER 2005 NOTES AND CORRESPONDENCE 3699 A Cautionary Note on the Use of Error Bars (2004)

John R. Lanzante

Climate studies often involve comparisons between estimates of some parameter derived from different observed and/or model-generated datasets. It is common practice to present estimates of two or...

Observed and Simulated Temperature–Humidity Relationships: Sensitivity to Sampling and Analysis (2001)

Mike Bauer, John R. Lanzante

Recent studies have demonstrated that the correlation between interannual variations of large-scale average temperature and water vapor is stronger and less height dependent in one GCM than in an...

224 JOURNAL OF CLIMATE VOLUME 16 Temporal Homogenization of Monthly Radiosonde Temperature Data. Part I: Methodology (2001)

John R. Lanzante, A. Klein, Dian J. Seidel

Historical changes in instrumentation and recording practices have severely compromised the temporal homogeneity of radiosonde data, a crucial issue for the determination of long-term trends. Methods...

4034 JOURNAL OF CLIMATE VOLUME 13 The ‘‘Clear-Sky Bias’ ’ of TOVS Upper-Tropospheric Humidity (1999)

John R. Lanzante, Gregory E. Gahrs

A temporal sampling bias may be introduced due to the inability of a measurement system to produce a valid observation during certain types of situations. In this study the temporal sampling bias in...

Revision for International Journal of Climatology (1996)

John R. Lanzante, John R. Lanzante

Basic traditional parametric statistical techniques are used widely in climate studies for characterizing the level (central tendency) and variability of variables, assessing linear relation-ships...