Maloney, E. D., Gettelman, A., Ming, Y., Neelin, J. D., Barrie, D., Mariotti, A., et al. (2019). Process-Oriented Evaluation of Climate and Weather Forecasting Models. Bull. Amer. Meteor. Soc. , 100 (9), 1665–1686.
Abstract: Realistic climate and weather prediction models are necessary to produce confidence in projections of future climate over many decades and predictions for days to seasons. These models must be physically justified and validated for multiple weather and climate processes. A key opportunity to accelerate model improvement is greater incorporation of process-oriented diagnostics (PODs) into standard packages that can be applied during the model development process, allowing the application of diagnostics to be repeatable across multiple model versions and used as a benchmark for model improvement. A POD characterizes a specific physical process or emergent behavior that is related to the ability to simulate an observed phenomenon. This paper describes the outcomes of activities by the Model Diagnostics Task Force (MDTF) under the NOAA Climate Program Office (CPO) Modeling, Analysis, Predictions and Projections (MAPP) program to promote development of PODs and their application to climate and weather prediction models. MDTF and modeling center perspectives on the need for expanded process-oriented diagnosis of models are presented. Multiple PODs developed by the MDTF are summarized, and an open-source software framework developed by the MDTF to aid application of PODs to centers' model development is presented in the context of other relevant community activities. The paper closes by discussing paths forward for the MDTF effort and for community process-oriented diagnosis.
Manghnani, V., Morrison, J. M., Xie, L., & Subrahmanyam, B. (2002). Heat transports in the Indian Ocean estimated from TOPEX/POSEIDON altimetry and model simulations. Deep Sea Research Part II: Topical Studies in Oceanography , 49 (7-8), 1459–1480.
Mariner, V. A. (1998). El Nino; Facts, Figures, Images and Predictions. College & Research Libraries News , 59 (9), 663–667.
Mask, A. C., O'Brien, J. J., & Preller, R. (1998). Wind-driven effects on the Yellow Sea Warm Current. J. Geophys. Res. , 103 (C13), 30713–30729.
Melsom, A., Meyers, S. D., O'Brien, J. J., Hurlburt, H. E., & Metzger, J. E. (1999). ENSO Effects on Gulf of Alaska Eddies. Earth Interact. , 3 (1), 1–30.
Mende, M., & Misra, V. (2020). Time to Flatten the Curves on COVID-19 and Climate Change. Marketing Can Help. Journal of Public Policy & Marketing , .
Abstract: The health, economic, and social impact of the COVID-19 pandemic is unprecedented in our lifetime, and no individual in this globalized, interconnected world is immune from its effects. This pandemic is a fundamental challenge for consumers, companies, and governments. Against this background, our commentary underscores linkages between public health, environment, and economy and explores how lessons from COVID-19 can help prevent other large-scale disasters.1 We focus on global climate change (GCC), because rising temperatures increase the likelihood of future pandemics.2 Accordingly, experts consider GCC “the largest public health threat of the century” (Wyns 2020). Although societal crises are underresearched in marketing, we propose that marketers should add their expertise to help avoid future crises. Notably, the Journal of Public Policy & Marketing (JPP&M) is uniquely positioned as a premier outlet for corresponding research at the intersection of marketing and policy.
Meyers, S. D., & O'Brien, J. J. (1997). Tropically forced Rossby waves as a source of decadal variability in the Northeast Pacific Ocean. In Seventh AMS Conference on Climate Variations, Long Beach, CA, USA (pp. 92–96).
Meyers, S. D., & O'Brien, J. J. (1995). Pacific Ocean influences atmospheric carbon dioxide. Eos Trans. AGU , 76 (52), 533.
Meyers, S. D., Basu, S., & O'Brien, J. J. (1997). Detection Of Eddies In The Eastern Gulf Of Alaska Using TOPEX/Poseidon Altimetry . COAPS Technical Report 97-4. Tallahassee, FL: Center for Ocean-Atmospheric Prediction Studies, Florida State University.
Meyers, S. D., Basu, S., & O'Brien, J. J. (1998). TOPEX/Poseidon altimetry captures cycles of the Indian Ocean. International WOCE Newsletter , 31 , 41–42.
