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) receiver connected to a very high-frequency (VHF) packet radio transmitter. An onboard VHF receiver was interfaced with a computer. A specific software was developed in order to display the ship and buoy positions overlaid to the injection (or sampling) grid. Release and tracking of a tracer patch within a Lagrangian reference frame was also at the base of the Plankton Reactivity in the Marine Environment (PRIME) project ( Law et al. 2001 ). During the field experiment, an eddy was marked with Argos
) receiver connected to a very high-frequency (VHF) packet radio transmitter. An onboard VHF receiver was interfaced with a computer. A specific software was developed in order to display the ship and buoy positions overlaid to the injection (or sampling) grid. Release and tracking of a tracer patch within a Lagrangian reference frame was also at the base of the Plankton Reactivity in the Marine Environment (PRIME) project ( Law et al. 2001 ). During the field experiment, an eddy was marked with Argos
and widely used approaches has been, and continues to be, harmonic analysis wherein the energy at specific tidal frequencies is determined by a mathematical fitting procedure, usually least squares. Though computer software that performs harmonic tidal analysis of one- and two-dimensional time series has been are available for more than 40 yr (links to software packages are available online at http://www.pol.ac.uk/psmsl/training/analysis.html ), many of these codes are restrictive in both the
and widely used approaches has been, and continues to be, harmonic analysis wherein the energy at specific tidal frequencies is determined by a mathematical fitting procedure, usually least squares. Though computer software that performs harmonic tidal analysis of one- and two-dimensional time series has been are available for more than 40 yr (links to software packages are available online at http://www.pol.ac.uk/psmsl/training/analysis.html ), many of these codes are restrictive in both the
Kurths (2004) presented the evolution of cross-wavelet transform, developed a statistical test for wavelet coherence (WTC), 1 and discussed some pitfalls in wavelet applications. Extending the toolkit of Torrence and Compo (1998) , Grinsted et al. (2004) provided a software package for cross-wavelet transform and WTC. Recently, Mihanović et al. (2009) introduced two additional wavelet analysis techniques—partial wavelet coherence (PWC) and multiple wavelet coherence (MWC)—to the field of
Kurths (2004) presented the evolution of cross-wavelet transform, developed a statistical test for wavelet coherence (WTC), 1 and discussed some pitfalls in wavelet applications. Extending the toolkit of Torrence and Compo (1998) , Grinsted et al. (2004) provided a software package for cross-wavelet transform and WTC. Recently, Mihanović et al. (2009) introduced two additional wavelet analysis techniques—partial wavelet coherence (PWC) and multiple wavelet coherence (MWC)—to the field of
Python-Based Supercell Tracking for Coarse Temporal and Spatial Resolution Numerical Model Simulationsthat individual cells are readily tracked, while the cross-correlation method instead measures the general flow field and does not necessarily track individual cells ( Han et al. 2009 ). Thus, a combination of these two methodologies would provide an optimal framework for tracking convective systems ranging in size from mesoscale convective systems to individual cells; the Enhanced TITAN (ETITAN) tracking software ( Dixon and Wiener 1993 ; Han et al. 2009 ) is an example of blending overlapping
that individual cells are readily tracked, while the cross-correlation method instead measures the general flow field and does not necessarily track individual cells ( Han et al. 2009 ). Thus, a combination of these two methodologies would provide an optimal framework for tracking convective systems ranging in size from mesoscale convective systems to individual cells; the Enhanced TITAN (ETITAN) tracking software ( Dixon and Wiener 1993 ; Han et al. 2009 ) is an example of blending overlapping
JULY1992 ADAMS ET AL. 1447Applications of Multigrid Software in the Atmospheric Sciences J. ADAMS, R. GARCIA, B. GROSS, J. HACK, D. HAIDVOGEL, AND V. PIZZO National Center for Atmospheric Research, * Boulder, Colorado (Manuscript received 16 May 1991, in final form 24 October 1991)ABSTRACT Elliptic partial differential equations from different areas in the atmospheric sciences are easily and efficientlysolved
JULY1992 ADAMS ET AL. 1447Applications of Multigrid Software in the Atmospheric Sciences J. ADAMS, R. GARCIA, B. GROSS, J. HACK, D. HAIDVOGEL, AND V. PIZZO National Center for Atmospheric Research, * Boulder, Colorado (Manuscript received 16 May 1991, in final form 24 October 1991)ABSTRACT Elliptic partial differential equations from different areas in the atmospheric sciences are easily and efficientlysolved
Recent advances in community-based software development have demonstrated that open-source software can be a real benefit to the radar community. Since the emergence of weather radar technology in the 1940s, research has sought to tap the full potential of weather radar observations. During the digital age, improvements in radar technology have been closely linked to advancements in computer science and software engineering. Making use of modern radars is not possible without software. Much
Recent advances in community-based software development have demonstrated that open-source software can be a real benefit to the radar community. Since the emergence of weather radar technology in the 1940s, research has sought to tap the full potential of weather radar observations. During the digital age, improvements in radar technology have been closely linked to advancements in computer science and software engineering. Making use of modern radars is not possible without software. Much
Meteorologists need to be able to manipulate arbitrary dates in the past, present, and future. Here calendar rules for both the Julian (old) and Gregorian (modern) calendars are reviewed. The author describes free software available online to perform calendrical conversions involving (day, month, year), (day of the year, year), and Julian day number for both the Julian and Gregorian calendars.
Meteorologists need to be able to manipulate arbitrary dates in the past, present, and future. Here calendar rules for both the Julian (old) and Gregorian (modern) calendars are reviewed. The author describes free software available online to perform calendrical conversions involving (day, month, year), (day of the year, year), and Julian day number for both the Julian and Gregorian calendars.
MAY 1995 HENDERSON-SELLERS ET AL. 1043Applying Software Engineering Metrics to Land Surface Parameterization Schemes~A. HENDERSON-SELLERS,* B. HENDERSON-SELLERS,* * D. POLLARD, ~ J. M. VERNER, $ AND A. J. PITMAN* - Climatic Impacts Centre, Macquarie University, North Ryde, Australia - * School of Computing Sciences, University of Technology, Sydney, Australia - National
MAY 1995 HENDERSON-SELLERS ET AL. 1043Applying Software Engineering Metrics to Land Surface Parameterization Schemes~A. HENDERSON-SELLERS,* B. HENDERSON-SELLERS,* * D. POLLARD, ~ J. M. VERNER, $ AND A. J. PITMAN* - Climatic Impacts Centre, Macquarie University, North Ryde, Australia - * School of Computing Sciences, University of Technology, Sydney, Australia - National
are specific to the field of atmospheric science, and students’ attention is shared among other STEM disciplines ( Bhattacharya et al. 2020 ). Additionally, models are inherently complex and computationally demanding. The software installation requires time and highly technical computing skills, running the model requires detailed knowledge of tunable parameters, and visualizing the model’s output often requires programming skills. There are tools like Science on a Sphere and Educational Global
are specific to the field of atmospheric science, and students’ attention is shared among other STEM disciplines ( Bhattacharya et al. 2020 ). Additionally, models are inherently complex and computationally demanding. The software installation requires time and highly technical computing skills, running the model requires detailed knowledge of tunable parameters, and visualizing the model’s output often requires programming skills. There are tools like Science on a Sphere and Educational Global
1. Introduction Numerical atmospheric models for weather forecasting and climate research include a software package that consists of numerically discretized mathematical equations written in programming languages, such as FORTRAN and C. Massively parallel computing cluster computers, which contain many networked processors, are commonly used to achieve superior computational performance for numerical modeling. The message-passing interface (MPI) is the most commonly used package for massively
1. Introduction Numerical atmospheric models for weather forecasting and climate research include a software package that consists of numerically discretized mathematical equations written in programming languages, such as FORTRAN and C. Massively parallel computing cluster computers, which contain many networked processors, are commonly used to achieve superior computational performance for numerical modeling. The message-passing interface (MPI) is the most commonly used package for massively
