Abstract

Abstract. Poor reliability of radiosonde records across South Asia imposes serious challenges in understanding the structure of upper-tropospheric and lower-stratospheric (UTLS) region. The Constellation Observing System for Meteorology, Ionosphere, and Climate (COSMIC) mission launched in April 2006 has overcome many observational limitations inherent in conventional atmospheric sounding instruments. This study examines the interannual variability of UTLS temperature over the Ganges–Brahmaputra–Meghna (GBM) river basin in South Asia using monthly averaged COSMIC radio occultation (RO) data, together with two global reanalyses. Comparisons between August 2006 and December 2013 indicate that MERRA (Modern-Era Retrospective Analysis for Research Application) and ERA-Interim (European Centre for Medium-Range Weather Forecasts reanalysis) are warmer than COSMIC RO data by 2 °C between 200 and 50 hPa levels. These warm biases with respect to COSMIC RO data are found to be consistent over time. The UTLS temperature show considerable interannual variability from 2006 to 2013 in addition to warming (cooling) trends in the troposphere (stratosphere). The cold (warm) anomalies in the upper troposphere (tropopause region) are found to be associated with warm ENSO (El Niño–Southern Oscillation) phase, while quasi-biennial oscillation (QBO) is negatively (positively) correlated with temperature anomalies at 70 hPa (50 hPa) level. PCA (principal component analysis) decomposition of tropopause temperatures and heights over the basin indicate that ENSO accounts for 73 % of the interannual (non-seasonal) variability with a correlation of 0.77 with Niño3.4 index whereas the QBO explains about 10 % of the variability. The largest tropopause anomaly associated with ENSO occurs during the winter, when ENSO reaches its peak. The tropopause temperature (height) increased (decreased) by about 1.5 °C (300 m) during the last major El Niño event of 2009/2010. In general, we find decreasing (increasing) trend in tropopause temperature (height) between 2006 and 2013.

Highlights

  • The upper troposphere–lower stratosphere (UTLS) region (400–30 hPa) is characterized by steep changes in static stability with large gradients in a number of radiatively active trace gases, including ozone and water vapor (Reid and Gage, 1985; Randel et al, 2000)

  • Three ocean–atmospheric indices are used in this study, representing the (a) El Niño–Southern Oscillation (ENSO), (b) Indian Ocean Dipole (IOD), and (c) quasi-biennial oscillation (QBO), which are commonly associated with significant fluctuations in UTLS temperatures

  • This study examines the interannual variability of temperature in the UTLS including tropopause temperatures and heights over the GBM river basin in South Asia using 89 months (August 2006 to December 2013) of COSMIC radio occultation (RO) data and two global reanalyses (MERRA and ERA-Interim)

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Summary

Introduction

The upper troposphere–lower stratosphere (UTLS) region (400–30 hPa) is characterized by steep changes in static stability (temperature lapse rate) with large gradients in a number of radiatively active trace gases, including ozone and water vapor (Reid and Gage, 1985; Randel et al, 2000). Observational evidence suggests that the troposphere has warmed considerably over the past decades with substantial cooling in the lower stratosphere (Karl et al, 2006; Lott et al, 2013; Thorne et al, 2013) Much of these temperature changes has been attributed to the increasing concentra-. In the context of growing RO mission and its ability to provide high spatio-temporal (and vertical) resolution vertical profiles, this study examines the interannual variability of temperature in the UTLS over the GBM river basin using ∼ 8 years of monthly accumulated COSMIC RO data from August 2006 to December 2013.

GBM river basin
Data and methods
Reanalysis products
Ocean–atmospheric indices
Tropopause temperatures and heights
Seasonal and interannual variability of UTLS temperature
Trends and variability of tropopause heights and temperatures
Conclusions
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