Acoustic Detection of Rainfall using Ocean Gliders in the Tropical Indian Ocean

Lead Research Organisation: University of East Anglia
Department Name: Environmental Sciences

Abstract

Rainfall is of fundamental importance to people's livelihoods and is a critical part of our climate system. Nowhere is this more true than in the Maritime Continent region of southeast Asia, the engine room of the global atmosphere. But rainfall is notoriously difficult to measure at sea, and we know little about the interplay of weather systems and ocean-atmosphere interactions that occur there. TerraMaris will combine air-, sea- and land-based measurements from Java, Christmas Island, and the tropical Indian Ocean, to improve our understanding of rainfall in this critical region. You will join the international TerraMaris field campaign from November 2019 to March 2020, deploying autonomous underwater vehicles, known as ocean gliders, to measure sound deep in the ocean. From these novel measurements, you will determine rainfall and wind speed from the noise these processes make at the sea surface, but which can be heard even in the ocean's interior. Specific questions are: How deep in the ocean can you 'hear' rain and wind? How do you distinguish the sound of rain and wind from other ocean noise? How do these acoustic measurements compare with other observations? You will also take part in the land campaign, launching radiosondes (weather balloons), from Christmas Island. You will receive training in glider and radiosonde operations before your fieldwork. You will analyse your observations, in combination with satellite and other global data sets, to better understand the processes that drive weather systems over the Maritime Continent. In particular, you will quantify the development of the daily cycle of atmospheric convection, with clouds and rain over the islands during the day and offshore overnight. Your work will pin down the importance of the ocean in this process.

Planned Impact

Due to the integral nature of the MC and the Madden-Julian Oscillation (MJO) within the global weather and climate system, this work will significantly impact forecasting on scales ranging from the short-range process-level understanding to climate prediction. Weather forecasters, including the UK Met Office and Indonesian BMKG (project partners), will benefit from TerraMaris through scientific advances in understanding and modelling the interactions of convection with atmospheric dynamics and ocean thermodynamics and the impact of these processes on severe and hazardous weather, including UK weather. This will feed into improved measures of uncertainty in weather forecasts, and into the process of developing the next generation of convective parameterisation schemes through the ParaCon project.

The MC provides a unique test bed for the new convective parameterisation schemes being developed in ParaCon, within which no new field measurements could be funded. The performance of parametrisations over the MC is critical to global modelling. Improved convection schemes will lead directly to improved rainfall forecasts, not only over the MC, but by improving the MC convection, across the world. The MC mosaic of steep, high, mountainous islands set among shallow warm seas, will provide a challenging and distinct regime in which to evaluate these schemes compared with, e.g., convection over open ocean or over continental regions (e.g., Great Plains of North America, Sahel region of Africa). TerraMaris will deliver a comprehensive, state-of-the-art set of case studies and statistical observations, a hierarchy of model simulations and detailed understanding of convective processes within this regime to validate convective paradigms developed in ParaCon, and to benchmark quantitatively ParaCon numerical simulations of convection and its interaction with atmospheric dynamics. TerraMaris will develop these products in close consultation with ParaCon, through Co-I's Woolnough, Marsham and Birch.

An improved understanding of the MJO and its propagation through the MC will lead to better constraints on the confidence of global medium-range forecasts (up to 15 days) at the UK Met Office, the European Centre for Medium Range Weather Forecasts, and other national meteorological agencies. The MC is a critical region for the El Nino-Southern Oscillation (ENSO), the major source of climate predictability on seasonal to inter-annual time scales; hence improved understanding of MC processes will feed into ENSO prediction and analysis of biases in ENSO forecasts. These will improve sub-seasonal and seasonal forecasts. On climate time scales (decadal and longer), the identification of the causes of regional model errors over the MC will lead to better constraints on regional climate projections, benefitting the IPCC and end users of climate projections, such as national and regional governments, and stakeholders in agriculture and water supply sectors.

Indonesian researchers in climate science, meteorology and oceanography will benefit from the advances described above, as well as the new techniques that TerraMaris will develop and apply (e.g., coordination of aircraft, radiosonde, land and ocean based measurements to measure the diurnal cycle of convection and land-sea breezes and gravity waves). The ocean observations will also include elements of biogeochemistry, so our results will benefit those working on fisheries management, carbon sequestration and ecosystem modelling. TerraMaris will benefit the International Indian Ocean Expedition 2 (IIOE-2), by improving understanding of ocean-atmosphere coupling in the Indian Ocean region. Scientists in the developing countries of the MC region will benefit by learning how to operate radiosondes and take surface flux measurements, and how to deploy, operate and pilot Seagliders and Wavegliders.

Publications

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Studentship Projects

Project Reference Relationship Related To Start End Student Name
NE/R016704/1 31/05/2018 30/05/2024
2274334 Studentship NE/R016704/1 30/09/2019 31/12/2023 Jack Mustafa
 
Description As noted below, the output from this award has differed greatly from the initial goals, due to the original research becoming untenable as a result of long-lasting pandemic restrictions.

Research funded by this award has instead focused on satellite measurements of the diurnal cycle of precipitation across Indonesia, and how this cycle can be characterised in greater detail as a result of the relatively recent development of higher-resolution satellite data products.

This work has developed a characterisation framework for cyclic data, such as a diurnal cycle with one main maximum-minimum pair per cycle, which describes the nature of the oscillation (i.e. asymmetries in the periods of increase and of decrease) between maximum and minimum as well as the amplitude and timing of the oscillation. Present work is investigating use of this characterisation framework to better diagnose model strengths and weaknesses in diurnal cycle simulation.
Exploitation Route This characterisation framework has a broad range of potential applications across the sciences, from approximate cycle characterisation to driving cyclically-varying parameters in idealised models.
Sectors Other

 
Title Skew-permitting cyclic waveform 
Description The skew-permitting cyclic waveform is a function that adds one degree of freedom (called "skew", represented by the "alpha" symbol) to a regular sinusoid. The function varies continuously in shape from a positive-gradient sawtooth wave (alpha = -1) through a sinusoidal wave (alpha = 0) to a negative-gradient sawtooth wave (alpha = +1). This function may be used as a best-fit waveform for single-peak cyclic data with uneven durations of the positive gradient phase and negative gradient phase. It may also be used as an idealised driver of an independent parameter in a model where such an asymmetric cyclic profile is desired. 
Type Of Material Improvements to research infrastructure 
Year Produced 2022 
Provided To Others? No  
Impact The research linked to this award has benefitted from the use of this new method as a characterisation tool for the diurnal cycle of precipitation over the Maritime Continent. The greater freedom in form beyond that of the first diurnal harmonic, which is often used in other studies to characterise the cycle, results in a more representative waveform phase parameter. This helps to achieve more accurate visualisation of the propagation of the diurnal component of precipitation at the scale of the Maritime Continent. 
 
Title Spike-permitting cyclic waveform 
Description The spike-permitting cyclic waveform is a function that adds one degree of freedom (called "spike", represented by the "beta" symbol) to a regular sinusoid. The function varies continuously in shape from a flat line with an instantaneous perturbation to a lower value (beta = -1) through a sinusoidal wave (beta = 0) to a flat line with an instantaneous perturbation to a higher value (alpha = +1). This function may be used as a best-fit waveform for single-peak cyclic data with uneven durations of the above-mean phase and below-mean phase. It may also be used as an idealised driver of an independent parameter in a model where such an asymmetric cyclic profile is desired. 
Type Of Material Improvements to research infrastructure 
Year Produced 2022 
Provided To Others? No  
Impact The research linked to this award has benefitted from the use of this new method as a characterisation tool for the diurnal cycle of precipitation over the Maritime Continent. The greater freedom in form beyond that of the first diurnal harmonic, which is often used in other studies to characterise the cycle, results in a more representative waveform amplitude parameter. This helps to achieve more accurate visualisation of the regions with a significant diurnal component of variability of precipitation at the scale of the Maritime Continent.