Finding a way to reverse climate change is the foremost challenge of our time and the first step is collecting
ocean data in order to help us understand how seawater chemistry is changing.
The fact that the land series when restricted to exclude cells
with ocean data shows greater warming can be explained by considering coastal stations.
Teams are challenged to be creative, and think of additional uses
for ocean data that fall within these broad challenge categories.
I wanted to take a larger look at at the
global ocean data, to provide it with some context.
Until recently, a systematic
ocean data collection did not exist, with the exception of the frequent sampling of the sea surface temperatures made by merchant vessels.
Deep ocean data are relatively sparse, and research ships used to collect them are increasingly expensive to operate.
These reconstructions are highly relevant when
comparing ocean data with model simulations of global and regional climate change.
Today I realised that although I was using up to date land data I wasn't using up to
date ocean data.
If ocean data is the main contributor then bucket data quality should be on the table.
While satellite a image shows what happens, only
hard ocean data and modeling explains why it happens.
However, more station data became available; also,
ocean data became available whose anomalies were used to estimate surface air temperature anomalies over the oceans.
The data assimilation special interest group is organising a meeting to bring together experts to discuss the latest progress in
ocean data assimilation.
The researchers
used ocean data in conjunction with the state - of - the - art Earth System Model to reconstruct the history of the oceanic nitrate concentration and make predictions about the future state of the North Pacific Ocean.
The observation - based (Global
Ocean Data Analysis Project; GLODAP) 1994 saturation horizon (solid white line) is also shown to illustrate the projected changes in the saturation horizon compared to the present.
The problem of «extra heat» in land temperatures (likely to be UHI and more) is escalated by GISS because they extrapolate the ground based land temperature measurements over the oceans in stead of using
real ocean data:
Surfrider recently partnered with Smartfin to help
collect ocean data in relation to climate change — specifically recording data on salinity, acidity, and water temperatures.
He marveled at the expense and wondered whether a smaller, seafaring version of Greenbird could
gather ocean data more cheaply.
I am aware of the problems with satellite data, but what's the story with NASA alledgedly starting to include
ocean data after WW II?
National and Regional
ocean data portals are designed to meet the needs of specific user communities.
And Sawe has started working with the Monterey Bay Aquarium Research Institute to explore some of their
Pacific Ocean data for another data sonification project down the road that could add another song to the soundtrack of climate change.
Furthermore, under the umbrella of the ice2ice project I explore the capability of the globally available proxy
surface ocean data to constrain ocean circulation of the past, taking into account its sparsity and uncertainties.
Psychologists have invented instruments such as the Big Five Inventory to
capture OCEAN data for personality modelling.
But I would suppose that equilibrium climate sensitivity [background] and even global mean surface temperature on a decadal scale could be better nailed down by model pruning and
better ocean data.
I suppose I could run the monthly
GISS Ocean data set and come up with a 2 year or 5 year curve, but I'm off to appointments this AM.