James D. Klett
New Mexico State University
PrecipitationOpticsPhysicsCollisionDrop (liquid)Water vaporCoalescence (physics)MeteorologyClimate modelScatteringMaterials scienceDiffractionAerosolEnvironmental scienceClimatologyLidarAtmospheric opticsMechanicsMie scatteringLiquid water contentAtmospheric sciencesRadiative forcing
59Publications
20H-index
7,946Citations
Publications 45
Newest
#1Petr Chylek (LANL: Los Alamos National Laboratory)H-Index: 32
#2Chris Folland (UEA: University of East Anglia)H-Index: 4
Last. Manvendra K. Dubey (LANL: Los Alamos National Laboratory)H-Index: 27
view all 4 authors...
We compare projections of the observed hemispherical mean surface temperature (HadCRUT4.6.0.0) and the ensemble mean of CMIP5 climate models' simulations on a set of standard regression model forcing variables. We find that the volcanic aerosol regression coefficients of the CMIP5 simulations are consistently significantly larger (by 40–49%) than the volcanic aerosol coefficients of the observed temperature. The probability that the observed differences are caused just by chance is much less tha...
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#1Petr Chylek (LANL: Los Alamos National Laboratory)H-Index: 32
#2John A. Augustine (ESRL: Earth System Research Laboratory)H-Index: 7
Last. Manvendra K. Dubey (LANL: Los Alamos National Laboratory)H-Index: 27
view all 5 authors...
At thousands of stations worldwide, the mean daily surface air temperature is estimated as a mean of the daily maximum (T max) and minimum (T min) temperatures. We use the NOAA Surface Radiation Budget Network (SURFRAD) of seven US stations with surface air temperature recorded each minute to assess the accuracy of the mean daily temperature estimate as an average of the daily maximum and minimum temperatures and to investigate how the accuracy of the estimate increases with an increasing number...
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#1Petr Chylek (LANL: Los Alamos National Laboratory)H-Index: 32
#2Manvendra K. DubeyH-Index: 27
Last. James D. KlettH-Index: 20
view all 4 authors...
We analyze the past (1900–2015) temperature and precipitation changes in nine separate US climate regions. We find that the temperature increased in a statistically significant (95% confidence level equivalent to alpha level of 0.05) manner in all of these regions. However, the variability in the observed precipitation was much more complex. In the eastern US (east of Rocky Mountains), the precipitation increased in all five climate regions and the increase was statistically significant in three...
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#1Petr Chylek (LANL: Los Alamos National Laboratory)H-Index: 32
#2James D. Klett (NMSU: New Mexico State University)H-Index: 20
Last. Nicolas W. HengartnerH-Index: 32
view all 4 authors...
The global mean 1900–2015 warming simulated by 42 Coupled Models Inter-comparison Project, phase 5 (CMIP5) climate models varies between 0.58 and 1.70 °C. The observed warming according to the NASA GISS temperature analysis is 0.95 °C with a 1200 km smoothing radius, or 0.86 °C with a 250 km smoothing radius. The projection of the future 2015–2100 global warming under a moderate increase of anthropogenic radiative forcing (RCP4.5 scenario) by individual models is between 0.7 and 2.3 °C. The CMIP...
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#1Petr Chylek (LANL: Los Alamos National Laboratory)H-Index: 32
Last. Manvendra K. Dubey (LANL: Los Alamos National Laboratory)H-Index: 27
view all 7 authors...
AbstractPhase 5 of the Coupled Model Intercomparison Project (CMIP5) climate models’ projections of the 2014–2100 Arctic warming under radiative forcing from representative concentration pathway 4.5 (RCP4.5) vary from 0.9° to 6.7°C. Climate models with or without a full indirect aerosol effect are both equally successful in reproducing the observed (1900–2014) Arctic warming and its trends. However, the 2014–2100 Arctic warming and the warming trends projected by models that include a full indir...
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#7M. K. Dubey (LANL: Los Alamos National Laboratory)H-Index: 24
Structural equation modeling is used in statistical applications as both confirmatory and exploratory modeling to test models and to suggest the most plausible explanation for a relationship between the independent and the dependent variables. Although structural analysis cannot prove causation, it can suggest the most plausible set of factors that influence the observed variable. We apply structural model analysis to the annual mean Arctic surface air temperature from 1900 to 2012 to find the m...
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#4M. K. Dubey (LANL: Los Alamos National Laboratory)H-Index: 24
A multiple linear regression analysis of global annual mean near-surface air temperature (1900–2012) using the known radiative forcing and the El Nino–Southern Oscillation index as explanatory variables account for 89% of the observed temperature variance. When the Atlantic Multidecadal Oscillation (AMO) index is added to the set of explanatory variables, the fraction of accounted for temperature variance increases to 94%. The anthropogenic effects account for about two thirds of the post-1975 g...
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#1Hans R. Pruppacher (UC: University of California)H-Index: 27
#2James D. Klett (New Mexico Institute of Mining and Technology)H-Index: 20
In the previous chapter, we described the observed variety of shapes, sizes, and concentrations of the solid and liquid particles which comprise clouds and precipitation. The remaining chapters will be devoted to exploring how such particles come into being and how they grow. Understanding these processes depends, to a large extent, on knowledge of the physical properties of water vapor, water, ice, and, ultimately, on the physical characteristics of the water molecule itself. Therefore, as a pr...
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#1James D. Klett (NMSU: New Mexico State University)H-Index: 20
A simple algorithm is presented for the analysis of transmission spectra provided by a lidar with an emission linewidth that is comparable with or larger than the absorption features of interest. The spreading of line shapes as seen by the lidar precludes use of the classical differential absorption lidar (DIAL) approach. However, it is assumed that, as with the DIAL method, small spectral intervals exist where single absorbers are dominant, and an inversion process for the transmission over suc...
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#1Robert A. Sutherland (ARL: United States Army Research Laboratory)H-Index: 2
#2Jill C. Thompson (ARL: United States Army Research Laboratory)H-Index: 2
Last. James D. Klett (NMSU: New Mexico State University)H-Index: 20
view all 3 authors...
We report on the application of a recently developed method for producing exact solutions of the thermal vision of the radiative transfer equation1. The method is demonstrated to be accurate to within five significant figures when compared with the one dimensional plane layer solutions published by van de Hulst2, and, has the added capability for treating discrete localized, aerosol clouds of spherical and cylindrical symmetry. The method, described in detail in a companion paper1, is only brief...
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