Predictability of the California Current System
Predictability of the California Current System

Author: National Aeronautics and Space Administration (NASA)

Publisher: Createspace Independent Publishing Platform

Published: 2018-06-19

Total Pages: 30

ISBN-13: 9781721521043

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The physical and biological oceanography of the Southern California Bight (SCB), a highly productive subregion of the California Current System (CCS) that extends from Point Conception, California, south to Ensenada, Mexico, continues to be extensively studied. For example, the California Cooperative Oceanic Fisheries Investigations (CalCOFI) program has sampled this region for over 50 years, providing an unparalleled time series of physical and biological data. However, our understanding of what physical processes control the large-scale and mesoscale variations in these properties is incomplete. In particular, the non-synoptic and relatively coarse spatial sampling (70km) of the hydrographic grid does not completely resolve the mesoscale eddy field (Figure 1a). Moreover, these unresolved physical variations exert a dominant influence on the evolution of the ecosystem. In recent years, additional datasets that partially sample the SCB have become available. Acoustic Doppler Current Profiler (ADCP) measurements, which now sample upper-ocean velocity between stations, and sea level observations along TOPEX tracks give a more complete picture of the mesoscale variability. However, both TOPEX and ADCP are well-sampled only along the cruise or orbit tracks and coarsely sampled in time and between tracks. Surface Lagrangian drifters also sample the region, although irregularly in time and space. SeaWiFS provides estimates of upper-ocean chlorophyll-a (chl-alpha), usually giving nearly complete coverage for week-long intervals, depending on cloud coverage. Historical ocean color data from the Coastal Zone Color Scanner (CZCS) has been used extensively to determine phytoplankton patterns and variability, characterize the primary production across the SCB coastal fronts, and describe the seasonal and interannual variability in pigment concentrations. As in CalCOFI, these studies described much of the observed structures and their variability over relatively large space and

Assessing the Impact of GODAE Boundary Conditions on the Estimate and Prediction of the Monterey Bay and California Central Coast Circulation
Assessing the Impact of GODAE Boundary Conditions on the Estimate and Prediction of the Monterey Bay and California Central Coast Circulation

Author:

Publisher:

Published: 2006

Total Pages: 9

ISBN-13:

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The practical demonstration of basin-scale ocean state estimation has been realized through the Global Ocean Data Assimilation Experiment (GODAE) whose projects provide complete descriptions of the temperature, salinity, and velocity structure of the global ocean. The ocean circulation, temperature and salinity distributions of coastal regions are characterized by smaller scale processes typically not resolved by basin-scale estimates of the ocean structure. The overarching goal of this project is to assess the impact of the large-scale ocean structure (as produced by GODAE), when used in conjunction with satellite observations, on the numerical prediction of the coastal ocean environment. Although the coastal circulation of the Monterey Bay and greater California central coast is in part driven by strong local forcing when present, the generally narrow continental shelf and open coastline of this region also leave it exposed to the energetic circulation of the California Current System offshore and more generally to the stratification and transports of the eastern Pacific ocean. The objective of this proposal is to use the Regional Ocean Modeling System (ROMS) and a recently developed suite of numerical tools (the ROMS 4 Dimensional variational data assimilation, ensemble prediction, and generalized stability analysis toolkits) to quantitatively explore the influence that open boundary conditions from Global Ocean Data Assimilation Experiment (GODAE) products and satellite-derived data have on the observability and predictability of the circulation in this coastal region.

Modeling Perspective of the Physical-Biological Response of the California Current to ENSO
Modeling Perspective of the Physical-Biological Response of the California Current to ENSO

Author: Nathalí Cordero Quirós

Publisher:

Published: 2020

Total Pages: 97

ISBN-13:

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The California Current System (CCS) is one of the most productive regions in the whole world, and as such, one of the most studied as well. Observational records throughout the years have shown scientists that CCS is under the influence of major climate events such as El Niño Southern Oscillation (ENSO). Yet there are still many questions regarding the exact mechanisms trough which ENSO teleconnections imprint variability in the physical conditions of the CCS, and how this further impacts the California Current Ecosystem (CCE). The focus of this dissertation is to shed light over the regional expressions of ENSO over the CCS, and how physical-biogeochemical interactions drive a coherent response associated with El Niño and La Niña events. The first part describes the response of the CCS to ENSO as captured by one coarse resolution model and one eddy-resolving high-resolution model. The findings help to better understand the mechanistic response of the CCS to ENSO and build on the existing framework for ecosystem predictability. A key result from the first part is that the cooling of the CCS associated with La Niña is more consistent than the warming associated with El Niño. Also, with the high-resolution model we are able to show the bottom-up response of the CCE, and the diversity in the response among different trophic groups. The last part focuses on proposing new avenues for future research to untangle the intricate components of the CCE response that are associated with mesoscale activity, and how they are affected by ENSO variability.

Regional Fisheries Oceanography of the California Current System
Regional Fisheries Oceanography of the California Current System

Author: Sam McClatchie

Publisher: Springer Science & Business Media

Published: 2013-09-30

Total Pages: 253

ISBN-13: 9400772238

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The California Current System is one of the best studied ocean regions of the world, and the level of oceanographic information available is perhaps only surpassed by the northeast and northwest Atlantic. The current literature (later than 1993) offers no comprehensive, integrated review of the regional fisheries oceanography of the California Current System. This volume summarizes information of more than 60-year California Cooperative Oceanic Fisheries Investigation (CalCOFI). While providing a large bibliography, the intent was to extract themes relevant to current research rather than to prepare a compendious review of the literature. The work presents a useful review and reference point for multidisciplinary fisheries scientists and biological oceanographers new to working in the California Current System, and to specialists wishing to access information outside their core areas of expertise. In addition it aims to deliver an up to date reference to the current state of knowledge of fisheries oceanography in the California Current System.

Bibliography Update on the California Current System and Related Mesoscale Ocean Modeling
Bibliography Update on the California Current System and Related Mesoscale Ocean Modeling

Author: Mary L. Batteen

Publisher:

Published: 1984*

Total Pages: 61

ISBN-13:

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This bibliography has been prepared for use in the Ocean Prediction Through Observation, Modeling and Analysis (OPTOMA) program. It updates the 1980 publication: Bibliography for the Coastal Circulation of the Eastern North Pacific. In addition, mesoscale ocean modeling references related to the California Current System have been included. Originator-supplied keywords include: California Current, Ocean modeling, Mesoscale eddies, and Physical oceanography.

Sub-seasonal to Seasonal Prediction
Sub-seasonal to Seasonal Prediction

Author: Andrew Robertson

Publisher: Elsevier

Published: 2018-10-19

Total Pages: 588

ISBN-13: 012811715X

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The Gap Between Weather and Climate Forecasting: Sub-seasonal to Seasonal Prediction is an ideal reference for researchers and practitioners across the range of disciplines involved in the science, modeling, forecasting and application of this new frontier in sub-seasonal to seasonal (S2S) prediction. It provides an accessible, yet rigorous, introduction to the scientific principles and sources of predictability through the unique challenges of numerical simulation and forecasting with state-of-science modeling codes and supercomputers. Additional coverage includes the prospects for developing applications to trigger early action decisions to lessen weather catastrophes, minimize costly damage, and optimize operator decisions. The book consists of a set of contributed chapters solicited from experts and leaders in the fields of S2S predictability science, numerical modeling, operational forecasting, and developing application sectors. The introduction and conclusion, written by the co-editors, provides historical perspective, unique synthesis and prospects, and emerging opportunities in this exciting, complex and interdisciplinary field. - Contains contributed chapters from leaders and experts in sub-seasonal to seasonal science, forecasting and applications - Provides a one-stop shop for graduate students, academic and applied researchers, and practitioners in an emerging and interdisciplinary field - Offers a synthesis of the state of S2S science through the use of concrete examples, enabling potential users of S2S forecasts to quickly grasp the potential for application in their own decision-making - Includes a broad set of topics, illustrated with graphic examples, that highlight interdisciplinary linkages

Bibliography Update on the California Current System and Related Mesoscale Ocean Modeling
Bibliography Update on the California Current System and Related Mesoscale Ocean Modeling

Author:

Publisher:

Published: 1984

Total Pages: 0

ISBN-13:

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This bibliography has been prepared for use in the Ocean Prediction Through Observation, Modeling and Analysis (OPTOMA) program. It updates the 1980 publication: Bibliography for the Coastal Circulation of the Eastern North Pacific. In addition, mesoscale ocean modeling references related to the California Current System have been included. Originator-supplied keywords include: California Current, Ocean modeling, Mesoscale eddies, and Physical oceanography.

Next Generation Earth System Prediction
Next Generation Earth System Prediction

Author: National Academies of Sciences, Engineering, and Medicine

Publisher: National Academies Press

Published: 2016-08-22

Total Pages: 351

ISBN-13: 0309388805

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As the nation's economic activities, security concerns, and stewardship of natural resources become increasingly complex and globally interrelated, they become ever more sensitive to adverse impacts from weather, climate, and other natural phenomena. For several decades, forecasts with lead times of a few days for weather and other environmental phenomena have yielded valuable information to improve decision-making across all sectors of society. Developing the capability to forecast environmental conditions and disruptive events several weeks and months in advance could dramatically increase the value and benefit of environmental predictions, saving lives, protecting property, increasing economic vitality, protecting the environment, and informing policy choices. Over the past decade, the ability to forecast weather and climate conditions on subseasonal to seasonal (S2S) timescales, i.e., two to fifty-two weeks in advance, has improved substantially. Although significant progress has been made, much work remains to make S2S predictions skillful enough, as well as optimally tailored and communicated, to enable widespread use. Next Generation Earth System Predictions presents a ten-year U.S. research agenda that increases the nation's S2S research and modeling capability, advances S2S forecasting, and aids in decision making at medium and extended lead times.