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We desire to maintain this character and quality of our reviews
We desire to maintain this character and quality of our reviews
While
The basic ideas of numerical forecasting and climate modeling were developed about a century ago, long before the first electronic computer
While
The basic ideas of numerical forecasting and climate modeling were developed about a century ago, long before the first electronic computer
As part of the 150th volume of
Climate modeling had its birth in the 1960s within the pages of
As part of the 150th volume of
Climate modeling had its birth in the 1960s within the pages of
On 18–19 February 1979, a rapidly deepening cyclone moved up the East Coast of North America, eventually dumping up to 60 cm of snow in eastern Virginia, Maryland, and Delaware. The National Weather Service was caught unawares, with the operational forecast models at the time missing the cyclogenesis event entirely, and therefore, the public forecast omitting reference to the possibility of heavy snow. Because the storm happened on the Presidents’ Day holiday in the United States, the storm became known as the Presidents’ Day snowstorm.
Eighteen months later, in September 1980, Lance Bosart of the State University of New York
On 18–19 February 1979, a rapidly deepening cyclone moved up the East Coast of North America, eventually dumping up to 60 cm of snow in eastern Virginia, Maryland, and Delaware. The National Weather Service was caught unawares, with the operational forecast models at the time missing the cyclogenesis event entirely, and therefore, the public forecast omitting reference to the possibility of heavy snow. Because the storm happened on the Presidents’ Day holiday in the United States, the storm became known as the Presidents’ Day snowstorm.
Eighteen months later, in September 1980, Lance Bosart of the State University of New York
This editorial opens volume 1, issue 1, of
AI and ML constitute a rapidly growing sector of the atmospheric, climate, and water-related sciences. In recent years, almost all of the AMS journals saw rapid growth in terms of publications on this topic, as have journals
This editorial opens volume 1, issue 1, of
AI and ML constitute a rapidly growing sector of the atmospheric, climate, and water-related sciences. In recent years, almost all of the AMS journals saw rapid growth in terms of publications on this topic, as have journals
Since 1962, the American Meteorological Society (AMS) has had a journal dedicated to utilizing meteorological and climatological information to help solve some of society’s greatest challenges. This editorial is to celebrate a noteworthy anniversary of the
Sixty years ago, the
Since 1962, the American Meteorological Society (AMS) has had a journal dedicated to utilizing meteorological and climatological information to help solve some of society’s greatest challenges. This editorial is to celebrate a noteworthy anniversary of the
Sixty years ago, the
Science requires evidence. Making data available lets other scientists confirm results, uncover errors, or find new insights. Moreover, gathering data can be expensive and time consuming. Because the same data can be used for a range of purposes, making data available can be an efficient use of limited research resources. Doing so can improve traceability and accountability when it comes to research findings.
These reasons and more lie behind recent efforts to promote data availability in research publications. The American Meteorological Society (AMS) recently updated its data policy guidelines (
Science requires evidence. Making data available lets other scientists confirm results, uncover errors, or find new insights. Moreover, gathering data can be expensive and time consuming. Because the same data can be used for a range of purposes, making data available can be an efficient use of limited research resources. Doing so can improve traceability and accountability when it comes to research findings.
These reasons and more lie behind recent efforts to promote data availability in research publications. The American Meteorological Society (AMS) recently updated its data policy guidelines (
Science requires evidence. Making data available lets other scientists confirm results, uncover errors, or find new insights. Moreover, gathering data can be expensive and time consuming. Since the same data can be used for a range of purposes, making data available can be an efficient use of limited research resources. Doing so can also improve traceability and, thus, accountability, when it comes to research findings.
These reasons and more lie behind recent efforts to promote data availability in research publications. The American Meteorological Society (AMS) recently updated its data policy guidelines (
Science requires evidence. Making data available lets other scientists confirm results, uncover errors, or find new insights. Moreover, gathering data can be expensive and time consuming. Since the same data can be used for a range of purposes, making data available can be an efficient use of limited research resources. Doing so can also improve traceability and, thus, accountability, when it comes to research findings.
These reasons and more lie behind recent efforts to promote data availability in research publications. The American Meteorological Society (AMS) recently updated its data policy guidelines (
The American Meteorological Society (AMS) is moving toward strongly encouraging authors to make all data available, consistent with the “FAIR” principle: “findable, accessible, interoperable, and reusable.” While we at the
The American Meteorological Society (AMS) is moving toward strongly encouraging authors to make all data available, consistent with the “FAIR” principle: “findable, accessible, interoperable, and reusable.” While we at the
Science requires evidence. Making data available lets other scientists confirm results, uncover errors, or find new insights. Moreover, gathering data can be expensive and time consuming. Since the same data can be used for a range of purposes, making data available can be an efficient use of limited research resources. Doing so can also improve traceability and, thus, accountability, when it comes to research findings.
These reasons and more lie behind recent efforts to promote data availability. The American Meteorological Society (AMS) recently updated its data policy guidelines (
Science requires evidence. Making data available lets other scientists confirm results, uncover errors, or find new insights. Moreover, gathering data can be expensive and time consuming. Since the same data can be used for a range of purposes, making data available can be an efficient use of limited research resources. Doing so can also improve traceability and, thus, accountability, when it comes to research findings.
These reasons and more lie behind recent efforts to promote data availability. The American Meteorological Society (AMS) recently updated its data policy guidelines (
