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Aerosol effects on shallow cumulus cloud fields in idealised and realistic simulations

Copernicus Publications (2020)

Authors:

George Spill, Philip Stier, Paul Field, Guy Dagan
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Constraining direct aerosol radiative forcing using remote sensing and in-situ constraints

Copernicus Publications (2020)

Authors:

Lucia Timea Deaconu, Duncan Watson-Parris, Philip Stier, Lindsay Lee
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Forced Convective Aggregation

Copernicus Publications (2020)

Authors:

Beth Dingley, Guy Dagan, Philip Stier
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Spatio-temporal Patterns of the Precipitation Response to Aerosol Perturbations from an Energetic Perspective

Copernicus Publications (2020)

Authors:

Shipeng Zhang, Philip Stier, Duncan Watson-Parris, Guy Dagan
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Pairs (Re)Loaded: System Design Benchmarking for Scalable Geospatial Applications

2020 IEEE Latin American Grss and ISPRS Remote Sensing Conference Lagirs 2020 Proceedings (2020) 488-493

Authors:

CM Albrecht, N Bobroff, B Elmegreen, M Freitag, HF Hamann, I Khabibrakhmanov, L Klein, S Lu, F Marianno, J Schmude, X Shao, C Siebenschuh, R Zhang

Abstract:

In this paper we benchmark a previously introduced big data platform that enables the analysis of big data from remote sensing and other geospatial-temporal data. The platform, called IBM PAIRS Geoscope, has been developed by leveraging open source big data technologies (Hadoop/HBase) that are in principle scalable in storage and compute to hundreds of PetaBytes. Currently, PAIRS hosts multiple PetaBytes of curated and geospatial-temporally indexed data. It organizes all data with key-value combinations, performing analytics close to the data to minimize data movement.
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