def __init__(self, **keywords):
# Calls the regular constructor
super(ConfIOMB, self).__init__(**keywords)
# Setup a html layout for generating web views of the results
pages = []
# Mean State page
pages.append(post.HtmlPage("MeanState", "Mean State"))
pages[-1].setHeader("CNAME / RNAME / MNAME")
pages[-1].setSections(
["Period mean at surface", "Mean regional depth profiles"])
pages.append(post.HtmlAllModelsPage("AllModels", "All Models"))
pages[-1].setHeader("CNAME / RNAME")
pages[-1].setSections([])
pages[-1].setRegions(self.regions)
pages.append(post.HtmlPage("DataInformation", "Data Information"))
pages[-1].setSections([])
pages[-1].text = "\n"
with Dataset(self.source) as dset:
for attr in dset.ncattrs():
pages[-1].text += "<p><b> %s: </b>%s</p>\n" % (
attr, dset.getncattr(attr).encode('ascii', 'ignore'))
self.layout = post.HtmlLayout(pages, self.longname)
def __init__(self, **keywords):
# Ugly, but this is how we call the Confrontation constructor
super(ConfCO2, self).__init__(**keywords)
self.regions = ['global']
self.lat_bands = np.asarray(self.keywords.get(
"lat_bands", "-90,-60,-23,0,+23,+60,+90").split(","),
dtype=float)
sec = []
for i in range(len(self.lat_bands) - 1):
sec.append("Latitude Band %d to %d [ppm]" %
(self.lat_bands[i], self.lat_bands[i + 1]))
sec = sec[::-1]
# Setup a html layout for generating web views of the results
pages = []
# Mean State page
pages.append(post.HtmlPage("MeanState", "Mean State"))
pages[-1].setHeader("CNAME / RNAME / MNAME")
pages[-1].setSections([
"Summary",
] + sec)
pages.append(post.HtmlAllModelsPage("AllModels", "All Models"))
pages[-1].setHeader("CNAME / RNAME")
pages[-1].setSections([])
pages[-1].setRegions(self.regions)
pages.append(post.HtmlPage("DataInformation", "Data Information"))
pages[-1].setSections([])
pages[-1].text = "\n"
with Dataset(self.source) as dset:
for attr in dset.ncattrs():
pages[-1].text += "<p><b> %s: </b>%s</p>\n" % (
attr, dset.getncattr(attr).encode('ascii', 'ignore'))
self.layout = post.HtmlLayout(pages, self.longname)
# Adding a member variable called basins, add them as regions
r = Regions()
self.pulse_dir = "/".join(
self.source.split("/")[:-2] + ["PulseEmulation"])
self.pulse_regions = r.addRegionNetCDF4(
os.path.join(self.pulse_dir, "AtmosphericPulseRegions.nc"))
# Emulation specific initialization
self.sites = [
site.strip()
for site in self.keywords.get("sites", None).upper().split(",")
]
self.map = None
if self.sites:
self.map = [
self.lbls.index(site) for site in self.sites
if site in self.lbls
]
self.lbls = [self.lbls[i] for i in self.map]
def __init__(self, **kwargs):
self.name = kwargs.get("name", None)
self.output_path = kwargs.get("output_path", "./")
self.master = True
self.rate = 0.01
self.CO2_0 = 284.7 # [ppm]
self.regions = ['global']
self.keywords = kwargs
pages = []
pages.append(post.HtmlPage("Feedback", "By Model"))
pages[-1].setHeader("CNAME / RNAME / MNAME")
pages[-1].setSections(
["Global states and fluxes", "Sensitivity parameters"])
pages[-1].setRegions(self.regions)
pages.append(post.HtmlAllModelsPage("AllModels", "All Models"))
pages[-1].setHeader("CNAME / RNAME / MNAME")
pages[-1].setSections([])
pages[-1].setRegions(self.regions)
self.layout = post.HtmlLayout(pages, self.name)
def __init__(self, **keywords):
# Calls the regular constructor
super(ConfPEcAn, self).__init__(**keywords)
obs = Variable(filename=self.source,
variable_name=self.variable,
alternate_vars=self.alternate_vars,
convert_calendar=False)
self.years = np.asarray(
[t.year for t in cftime.num2date(obs.time, "days since 1850-1-1")],
dtype=int)
self.years = np.unique(self.years)
# Setup a html layout for generating web views of the results
pages = []
# Mean State page
pages.append(post.HtmlPage("MeanState", "Mean State"))
pages[-1].setHeader("CNAME / RNAME / MNAME")
pages[-1].setSections([
"Seasonal Diurnal Cycle",
] + ["%d" % y for y in self.years])
pages.append(post.HtmlAllModelsPage("AllModels", "All Models"))
pages[-1].setHeader("CNAME / RNAME")
pages[-1].setSections([])
pages[-1].setRegions(self.regions)
pages.append(post.HtmlPage("DataInformation", "Data Information"))
pages[-1].setSections([])
pages[-1].text = "\n"
with Dataset(self.source) as dset:
for attr in dset.ncattrs():
a = dset.getncattr(attr)
if 'astype' in dir(a): a = a.astype('str')
if 'encode' in dir(a): a = a.encode('ascii', 'ignore')
pages[-1].text += "<p><b> %s: </b>%s</p>\n" % (
attr, a)
self.layout = post.HtmlLayout(pages, self.longname)