scholarly journals A Regional Earth System Data Lab for Understanding Ecosystem Dynamics: An Example from Tropical South America

2021 ◽  
Vol 9 ◽  
Author(s):  
Lina M. Estupinan-Suarez ◽  
Fabian Gans ◽  
Alexander Brenning ◽  
Victor H. Gutierrez-Velez ◽  
Maria C. Londono ◽  
...  
Keyword(s):  
South America ◽  
Primary Production ◽  
Data Streams ◽  
Ecosystem Functioning ◽  
Earth System ◽  
Tropical Ecosystems ◽  
Study Region ◽  
Wide Range ◽  
System Data ◽  
Multiple Data Sets

Tropical ecosystems experience particularly fast transformations largely as a consequence of land use and climate change. Consequences for ecosystem functioning and services are hard to predict and require analyzing multiple data sets simultaneously. Today, we are equipped with a wide range of spatio-temporal observation-based data streams that monitor the rapid transformations of tropical ecosystems in terms of state variables (e.g., biomass, leaf area, soil moisture) but also in terms of ecosystem processes (e.g., gross primary production, evapotranspiration, runoff). However, the underexplored joint potential of such data streams, combined with deficient access to data and processing, constrain our understanding of ecosystem functioning, despite the importance of tropical ecosystems in the regional-to-global carbon and water cycling. Our objectives are: 1. To facilitate access to regional “Analysis Ready Data Cubes” and enable efficient processing 2. To contribute to the understanding of ecosystem functioning and atmosphere-biosphere interactions. 3. To get a dynamic perspective of environmental conditions for biodiversity. To achieve our objectives, we developed a regional variant of an “Earth System Data Lab” (RegESDL) tailored to address the challenges of northern South America. The study region extensively covers natural ecosystems such as rainforest and savannas, and includes strong topographic gradients (0–6,500 masl). Currently, environmental threats such as deforestation and ecosystem degradation continue to increase. In this contribution, we show the value of the approach for characterizing ecosystem functioning through the efficient implementation of time series and dimensionality reduction analysis at pixel level. Specifically, we present an analysis of seasonality as it is manifested in multiple indicators of ecosystem primary production. We demonstrate that the RegESDL has the ability to underscore contrasting patterns of ecosystem seasonality and therefore has the potential to contribute to the characterization of ecosystem function. These results illustrate the potential of the RegESDL to explore complex land-surface processes and the need for further exploration. The paper concludes with some suggestions for developing future big-data infrastructures and its applications in the tropics.

scholarly journals Earth system data cubes unravel global multivariate dynamics

2019 ◽  
Author(s):  
Miguel D. Mahecha ◽  
Fabian Gans ◽  
Gunnar Brandt ◽  
Rune Christiansen ◽  
Sarah E. Cornell ◽  
...  
Keyword(s):  
Data Streams ◽  
Multiple Time Scales ◽  
Earth System ◽  
Model Data ◽  
Data Cubes ◽  
Intensive Research ◽  
Data Intensive ◽  
The Earth ◽  
System Data ◽  
Multiple Variables

Abstract. Understanding Earth system dynamics in the light of ongoing human intervention and dependency remains a major scientific challenge. The unprecedented availability of data streams describing different facets of the Earth now offers fundamentally new avenues to address this quest. However, several practical hurdles, especially the lack of data interoperability, limit the joint potential of these data streams. Today many initiatives within and beyond the Earth system sciences are exploring new approaches to overcome these hurdles and meet the growing inter-disciplinary need for data-intensive research; using data cubes is one promising avenue. Here, we introduce the concept of Earth system data cubes and how to operate on them in a formal way. The idea is that treating multiple data dimensions, such as spatial, temporal, variable, frequency and other grids alike, allows effective application of user-defined functions to co-interpret Earth observations and/or model-data. An implementation of this concept combines analysis-ready data cubes with a suitable analytic interface. In three case studies we demonstrate how the concept and its implementation facilitate the execution of complex workflows for research across multiple variables, spatial and temporal scales: (1) summary statistics for ecosystem and climate dynamics; (2) intrinsic dimensionality analysis on multiple time-scales; and (3) data-model integration. We discuss the emerging perspectives for investigating global interacting and coupled phenomena in observed or simulated data. Latest developments in machine learning, causal inference, and model data integration can be seamlessly implemented in the proposed framework, supporting rapid progress in data-intensive research across disciplinary boundaries.

scholarly journals Earth system data cubes unravel global multivariate dynamics

2020 ◽  
Vol 11 (1) ◽  
pp. 201-234 ◽  
Author(s):  
Miguel D. Mahecha ◽  
Fabian Gans ◽  
Gunnar Brandt ◽  
Rune Christiansen ◽  
Sarah E. Cornell ◽  
...  
Keyword(s):  
Data Integration ◽  
Data Streams ◽  
Scale Model ◽  
Earth System ◽  
Model Data ◽  
Data Cubes ◽  
Intensive Research ◽  
Data Intensive ◽  
The Earth ◽  
System Data

Abstract. Understanding Earth system dynamics in light of ongoing human intervention and dependency remains a major scientific challenge. The unprecedented availability of data streams describing different facets of the Earth now offers fundamentally new avenues to address this quest. However, several practical hurdles, especially the lack of data interoperability, limit the joint potential of these data streams. Today, many initiatives within and beyond the Earth system sciences are exploring new approaches to overcome these hurdles and meet the growing interdisciplinary need for data-intensive research; using data cubes is one promising avenue. Here, we introduce the concept of Earth system data cubes and how to operate on them in a formal way. The idea is that treating multiple data dimensions, such as spatial, temporal, variable, frequency, and other grids alike, allows effective application of user-defined functions to co-interpret Earth observations and/or model–data integration. An implementation of this concept combines analysis-ready data cubes with a suitable analytic interface. In three case studies, we demonstrate how the concept and its implementation facilitate the execution of complex workflows for research across multiple variables, and spatial and temporal scales: (1) summary statistics for ecosystem and climate dynamics; (2) intrinsic dimensionality analysis on multiple timescales; and (3) model–data integration. We discuss the emerging perspectives for investigating global interacting and coupled phenomena in observed or simulated data. In particular, we see many emerging perspectives of this approach for interpreting large-scale model ensembles. The latest developments in machine learning, causal inference, and model–data integration can be seamlessly implemented in the proposed framework, supporting rapid progress in data-intensive research across disciplinary boundaries.

Diversity and Integration in Private International Law

2019 ◽  
Keyword(s):  
South America ◽  
International Law ◽  
Value Systems ◽  
Private International Law ◽  
Diverse Range ◽  
Cross Border ◽  
Wide Range ◽  
Depth Analysis ◽  
And Shifts ◽  
Substantive Law

This book opens a cross-regional dialogue and shifts the Eurocentric discussion on diversity and integration to a more inclusive engagement with South America in private international law issues. It promotes a contemporary vision of private international law as a discipline enabling legal interconnectivity, with the potential to transcend its disciplinary boundaries to further promote the reality of cross-border integration, with its focus on the ever-increasing cross-border mobility of individuals. Private international law embraces legal diversity and pluralism. Different legal traditions continue to meet, interact and integrate in different forms, at the national, regional and international levels. Different systems of substantive law couple with divergent systems of private international law (designed to accommodate the former in cross-border situations). This complex legal landscape impacts individuals and families in cross-border scenarios, and international commerce broadly conceived. Private international law methodologies and techniques offer means for the coordination of this constellation of legal orders and value systems in cross-border situations. Bringing together world-renowned academics and experienced private international lawyers from a wide range of jurisdictions in Europe and South America, this edited collection focuses on the connective capabilities of private international law in bridging and balancing legal diversity as a corollary for the development of integration. The book provides in-depth analysis of the role of private international law in dealing with legal diversity across a diverse range of topics and jurisdictions.

scholarly journals Coupling between the JULES land-surface scheme and the CCATT-BRAMS atmospheric chemistry model (JULES-CCATT-BRAMS1.0): applications to numerical weather forecasting and the CO<sub>2</sub> budget in South America

2013 ◽  
Vol 6 (1) ◽  
pp. 453-494 ◽  
Author(s):  
D. S. Moreira ◽  
S. R. Freitas ◽  
J. P. Bonatti ◽  
L. M. Mercado ◽  
N. M. É. Rosário ◽  
...  
Keyword(s):  
South America ◽  
Atmospheric Chemistry ◽  
Land Surface ◽  
Amazon Basin ◽  
Mean Squared Error ◽  
Weather Forecasting ◽  
Dew Point ◽  
Surface Model ◽  
Co2 Concentrations ◽  
Wide Range

Abstract. This article presents the development of a new numerical system denominated JULES-CCATT-BRAMS, which resulted from the coupling of the JULES surface model to the CCATT-BRAMS atmospheric chemistry model. The performance of this system in relation to several meteorological variables (wind speed at 10 m, air temperature at 2 m, dew point temperature at 2 m, pressure reduced to mean sea level and 6 h accumulated precipitation) and the CO2 concentration above an extensive area of South America is also presented, focusing on the Amazon basin. The evaluations were conducted for two periods, the wet (March) and dry (September) seasons of 2010. The statistics used to perform the evaluation included bias (BIAS) and root mean squared error (RMSE). The errors were calculated in relation to observations at conventional stations in airports and automatic stations. In addition, CO2 concentrations in the first model level were compared with meteorological tower measurements and vertical CO2 profiles were compared with aircraft data. The results of this study show that the JULES model coupled to CCATT-BRAMS provided a significant gain in performance in the evaluated atmospheric fields relative to those simulated by the LEAF (version 3) surface model originally utilized by CCATT-BRAMS. Simulations of CO2 concentrations in Amazonia and a comparison with observations are also discussed and show that the system presents a gain in performance relative to previous studies. Finally, we discuss a wide range of numerical studies integrating coupled atmospheric, land surface and chemistry processes that could be produced with the system described here. Therefore, this work presents to the scientific community a free tool, with good performance in relation to the observed data and re-analyses, able to produce atmospheric simulations/forecasts at different resolutions, for any period of time and in any region of the globe.

scholarly journals A review on design and testing methodologies of modern freight train draft gear system

2021 ◽  
Author(s):  
Simon Wagner ◽  
Colin Cole ◽  
Maksym Spiryagin
Keyword(s):  
Soviet Union ◽  
South America ◽  
Former Soviet Union ◽  
Rolling Stock ◽  
Freight Train ◽  
Wide Range ◽  
Draft Gear ◽  
Design And Testing ◽  
Damping Systems ◽  
The Eu

AbstractRolling stock connection systems are key to running longer and heavier trains as they provide both the connections of vehicles and the damping, providing the longitudinal suspension of the train. This paper focuses on the evolution of both connection and stiffness damping systems. Focus is on freight rolling stock, but passenger draw gears are also examined. It was found that connection systems have evolved from the buff and chain system used in the pioneer railways of the 1800s to the modern auto-coupler connection systems that are in-service worldwide today. Refined versions of the buff and chain coupling are, however, still in use in the EU, UK, South America and India. A wide range of auto-coupler systems are currently utilised, but the AAR coupler (Janney coupler) remains the most popular. A further variation that persists is the SA3 coupler (improved Wilson coupler) which is an alternative auto-coupler design used mainly throughout the former Soviet Union. Restricting the review to auto-coupler systems allowed the paper to focus on draft gears which revealed polymer, polymer-friction, steel spring-friction, hydraulic draft gears and sliding sill cushioning systems. Along with the single compressive draft gear units balanced and floating plate configurations are also presented. Typical draft gear acceptance standards are presented along with modelling that was included to aid in presentation of the functional characteristics of draft gears.

Rapid boron isotope and concentration measurements of silicate geological reference materials dissolved through sodium peroxide sintering

2021 ◽  
Author(s):  
Yue Cai ◽  
Troy E Rasbury ◽  
Kathleen M Wooton ◽  
Xin Jiang ◽  
Di Wang
Keyword(s):  
Solid Earth ◽  
Reference Materials ◽  
Earth Science ◽  
Boron Isotope ◽  
Earth System ◽  
Sodium Peroxide ◽  
Wide Range ◽  
Concentration Measurements

Understanding the movement of fluids in the solid Earth system is crucial for answering a wide range of important questions in Earth Science. Boron (B) is a perfect tracer for...

Chrysomphalus ficus. [Distribution map].

1951 ◽  
Author(s):  
Keyword(s):  
North America ◽  
South America ◽  
Central America ◽  
West Indies ◽  
Pacific Islands ◽  
New Caledonia ◽  
Ryukyu Islands ◽  
Distribution Map ◽  
Society Islands ◽  
Wide Range

Abstract A new distribution map is provided for Chrysomphalus ficus[Chrysomphalus aonidum] Ashm. (aonidum auct.) (Florida Red Scale). Hosts: Citrus; wide range of Mono- and Dicotyledons. Information is given on the geographical distribution in ASIA, China, Formosa, Hong Kong, Kowloon, India, Indonesia, Israel, Malaya, Pakistan, Philippines, Syria, AFRICA, Agaléga Island, Algeria, Anglo-Egyptian Sudan, Egypt, Madagascar, Mauritius, Morocco, Northern Rhodesia, Portuguese East Africa, Seychelles, Southern Rhodesia, Union of South Africa, Zanzibar, AUSTRALASIA AND PACIFIC ISLANDS, Australia, Hawaii, Society Islands, NORTH AMERICA, Mexico, U.S.A., CENTRAL AMERICA and WEST INDIES, Honduras, Panama, West Indies, SOUTH AMERICA, Argentina, Brazil, British Guiana, Chile, Colombia, Paraguay, Uruguay, Venezuela, Pakistan, Philippines, Ryukyu Islands, Saudi Arabia, Singapore, South Yemen, Sri Lanka, Syria, Taiwan, Yemen, AUSTRALASIA and PACIFIC ISLANDS, American Samoa, Australia, New South Wales, Northern Territory, Queensland, Caroline Islands, Fiji, Hawaii, Kiribati, New Caledonia, Ogasawara-shoto, Papua, New Guinea, Society Islands, Tuvalu, Western Samoa, NORTH AMERICA, USA, California, Florida, Mississippi, Texas, Washington D.C., CENTRAL AMERICA and CARIBBEAN, Barbados, Bermuda, Cayman Islands, Cuba, Dominica, Dominican Republic, El Salvador, Guadeloupe, Guatemala, Haiti, Honduras, Jamaica, Martinique, Mexico, Montserrat, Panama, Puerto Rico, St. Lucia, St. Vincent, Trinidad, Virgin Islands, SOUTH AMERICA, Argentina, Brazil, Chile, Colombia, French Guiana, Guyana, Paraguay, Surinam, Uruguay, Venezuela.

A comparison of select trigger algorithms for automated global seismic phase and event detection

1998 ◽  
Vol 88 (1) ◽  
pp. 95-106 ◽  
Author(s):  
Mitchell Withers ◽  
Richard Aster ◽  
Christopher Young ◽  
Judy Beiriger ◽  
Mark Harris ◽  
...  
Keyword(s):  
Real Time ◽  
Data Streams ◽  
Event Detection ◽  
Spectral Characteristics ◽  
Digital Data ◽  
Robust Detection ◽  
Location System ◽  
Global Correlation ◽  
Seismic Coda ◽  
Wide Range

Abstract Digital algorithms for robust detection of phase arrivals in the presence of stationary and nonstationary noise have a long history in seismology and have been exploited primarily to reduce the amount of data recorded by data logging systems to manageable levels. In the present era of inexpensive digital storage, however, such algorithms are increasingly being used to flag signal segments in continuously recorded digital data streams for subsequent processing by automatic and/or expert interpretation systems. In the course of our development of an automated, near-real-time, waveform correlation event-detection and location system (WCEDS), we have surveyed the abilities of such algorithms to enhance seismic phase arrivals in teleseismic data streams. Specifically, we have considered envelopes generated by energy transient (STA/LTA), Z-statistic, frequency transient, and polarization algorithms. The WCEDS system requires a set of input data streams that have a smooth, low-amplitude response to background noise and seismic coda and that contain peaks at times corresponding to phase arrivals. The algorithm used to generate these input streams from raw seismograms must perform well under a wide range of source, path, receiver, and noise scenarios. Present computational capabilities allow the application of considerably more robust algorithms than have been historically used in real time. However, highly complex calculations can still be computationally prohibitive for current workstations when the number of data streams become large. While no algorithm was clearly optimal under all source, receiver, path, and noise conditions tested, an STA/LTA algorithm incorporating adaptive window lengths controlled by nonstationary seismogram spectral characteristics was found to provide an output that best met the requirements of a global correlation-based event-detection and location system.

Ustilago hypodytes. [Descriptions of Fungi and Bacteria].

1984 ◽  
Author(s):  
J. E. M. Mordue
Keyword(s):  
New Zealand ◽  
North America ◽  
South America ◽  
Root System ◽  
Geographical Distribution ◽  
Host Plants ◽  
Meristematic Tissue ◽  
Wide Range ◽  
Vegetative Multiplication ◽  
Established Infection

Abstract A description is provided for Ustilago hypodytes. Information is included on the disease caused by the organism, its transmission, geographical distribution, and hosts. HOSTS: A wide range of grasses, including species of Agropyron (many), Ammophila, Brachypodium, Bromus, Calamagrostis, Diplachne, Distichlis, Elymus (many), Festuca, Glyceria, Hilaria, Hordeum, Haynaldia, Lygeum, Melica, Orysopsis, Panicum, Phalaris, Phleum, Poa (many), Puccinellia, Secale, Sitanion, Sporobolus, Stipa (many), and Trisetum. DISEASE: Stem smut of grasses. GEOGRAPHICAL DISTRIBUTION: Chiefly a temperate species found in Europe (including Denmark, Finland, France, Germany, Hungary, Italy, Romania, Sweden, Switzerland, UK, USSR, Yugoslavia) and North America (Canada, USA) and extending to central and South America (Argentina, Peru, Uruguay), N. Africa (Libya, Morocco, Tunisia), Japan, Australia and New Zealand. TRANSMISSION: Not fully understood, though inoculation experiments have demonstrated that infection occurs in mature vegetative plants (possibly through meristematic tissue), not seeds or flowers (22, 240; 24, 511). Once established, infection is systemic, probably overwintering in the root system and spreading by vegetative multiplication of host plants as well as from plant to plant (24, 511; 19, 720).

Pythium intermedium. [Descriptions of Fungi and Bacteria].

1964 ◽  
Author(s):  
G. M. Waterhouse
Keyword(s):  
North America ◽  
South America ◽  
Geographical Distribution ◽  
Root Rot ◽  
Crop Plants ◽  
Foot Rot ◽  
Damping Off ◽  
Wide Range

Abstract A description is provided for Pythium intermedium. Information is included on the disease caused by the organism, its transmission, geographical distribution, and hosts. HOSTS: On a wide range of hosts represented by the following families: Begoniaceae, Bromeliaceae, Chenopodiaceae, Compositae, Coniferae, Cruciferae, Euphorbiaceae, Geraniaceae, Gramineae, Leguminosae, Liliaceae, Linaceae, Moraceae, Onagraceae, Ranunculaceae, Rosaceae, Solanaceae, Ulmaceae, Violaceae; also in the Equisetales and Filicales. DISEASES: Damping-off of seedlings, foot rot and root rot of ornamentals, occasionally of crop plants and trees. GEOGRAPHICAL DISTRIBUTION: Asia (China); Australia & Oceania (Hawaii); Europe (England, Belgium, France, Germany, Holland, Sweden, U.S.S.R.); North America (U.S.A.); South America (Argentina). TRANSMISSION: A common soil inhabitant.

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