Abstract

Emergence of global mean sea level (GMSL) from a ‘hiatus’ following a persistent La Niña highlights the need to understand the causes of interannual variability in GMSL. Several studies link interannual variability in GMSL to anomalous transport of water mass between land and ocean—and subsequent changes in water storage in these reservoirs—primarily driven by El Niño/Southern Oscillation (ENSO). Despite this, asymmetries in teleconnections between ENSO mode and land water storage have received less attention. We use historical simulations of natural climate variability to characterize asymmetries in the hydrological response to ENSO based on phase and duration. Findings indicate pronounced phase-specific and duration-specific asymmetries covering up to 93 and 50 million km2 land area, respectively. The asymmetries are seasonally dependent, and based on the mean regional climate are capable of influencing inherently bounded storage by pushing the storage-precipitation relationship towards nonlinearity. The nonlinearities are more pronounced in dry regions in the dry season, wet regions in the wet season, and during Year 2 of persistent ENSO events, limiting the magnitude of associated anomalies under persistent ENSO influence. The findings have implications for a range of stakeholders, including sea level researchers and water managers.

Highlights

  • Teleconnections, in climate literature, refer to phenomena where changes in climate variables are related over remote distances, typically driven by large scale atmospheric circulation

  • Duration-specific asymmetries occurred over a relatively smaller area compared to phase-specific asymmetries

  • Asymmetries in the El Niño/Southern Oscillation (ENSO)-Terrestrial water storage change (TWSC) teleconnections are characterized for the first time as a function of ENSO phase and duration

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Summary

Introduction

Teleconnections, in climate literature, refer to phenomena where changes in climate variables are related over remote distances, typically driven by large scale atmospheric circulation. In this context, well simulated well as the combined influence of ENSO on the P-TWS relationship.

Materials and Methods
El Niño the example
Results
Values in Parenthesis Indicate
Area under
La Niña
La Niña are discussed
Findings
Discussion

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