DEPRECATED: See seebuoy for NDBC data.

buoypy

Functions to query the NDBC.

Returns pandas dataframes for the wave parameters.

Data descriptions - [Link][http://www.ndbc.noaa.gov/measdes.shtml]

Real Time - Last 45 Days

The real time data for all of their buoys can be found at: http://www.ndbc.noaa.gov/data/realtime2/

The realtime data provided is :

File	Description
.data_spec	Raw Spectral Wave Data
.spec	Spectral Wave Summary Data
.swdir	Spectral Wave Data (alpha1)
.swdir2	Spectral Wave Data (alpha2)
.swr1	Spectral Wave Data (r1)
.swr2	Spectral Wave Data (r2)
.txt	Standard Meteorological Data

The data headers for each of the files are provided below.

.data_spec

YY	MM	DD	hh	mm	Sep_Freq	spec_1	(freq_1)	spec_2	(freq_2)	spec_3	(freq_3)	...

.spec

YY	MM	DD	hh	mm	WVHT	SwH	SwP	WWH	WWP	SwD	WWD	STEEPNESS	APD	MWD
yr	mo	dy	hr	mn	m	m	sec	m	sec	-	degT	-	sec	degT

.swdir

YY	MM	DD	hh	mm	alpha1_1	(freq_1)	alpha1_2	(freq_2)	alpha1_3	(freq_3)	...

.swdir2

YY	MM	DD	hh	mm	alpha2_1	(freq_1)	alpha2_2	(freq_2)	alpha2_3	(freq_3)	...

.swr1

YY	MM	DD	hh	mm	r1_1	(freq_1)	r1_2	(freq_2)	r1_3	(freq_3)	...

.swr2

YY	MM	DD	hh	mm	r2_1	(freq_1)	r2_2	(freq_2)	r2_3	(freq_3)	...

.txt

YY	MM	DD	hh	mm	WDIR	WSPD	GST	WVHT	DPD	APD	MWD	PRES	ATMP	WTMP	DEWP	VIS	PTDY	TIDE
yr	mo	dy	hr	mn	degT	m/s	m/s	m	sec	sec	degT	hPa	degC	degC	degC	nmi	hPa	ft

Method	Description
data_spec	raw spectral wave data
get_spec	spectral wave summaries
get_swdir	spectral wave data (alpha1)
get_swdir2	spectral wave data (alpha2)
get_swr1	spectral wave data (r1)
get_swr2	spectral wave data (r2)
get_txt	standard meteorological data

#Examples

import buoypy as bp

buoy = 41108 #wilmington harbor
B = bp.realtime(buoy) #wilmington harbor

df = B.txt()

# plotting
fig,ax = plt.subplots(2,sharex=True)
df.WVHT.plot(ax=ax[0])
ax[0].set_ylabel('Wave Height (m)',fontsize=14)

df.DPD.plot(ax=ax[1])
ax[1].set_ylabel('Dominant Period (sec)',fontsize=14)
ax[1].set_xlabel('')
sns.despine()

Historic Data - All information from a buoy

All buoys have different years that they are online. This aims to grab all the available data. Currently only grabbing the standard Meteorological data is implemented.

The historic data provided is:

Description
Standard Meteorological Data

YY	MM	DD	hh	mm	WDIR	WSPD	GST	WVHT	DPD	APD	MWD	PRES	ATMP	WTMP	DEWP	VIS	TIDE
yr	mo	dy	hr	mn	degT	m/s	m/s	m	sec	sec	degT	hPa	degC	degC	degC	nmi	ft

import buoypy as bp

buoy = 41108
year = 2014

H = bp.historic_data(buoy,year)
df = H.get_stand_meteo()

# plotting
fig,ax = plt.subplots(2,sharex=True)
df.WVHT.plot(ax=ax[0])
ax[0].set_ylabel('Wave Height (m)',fontsize=14)

df.DPD.plot(ax=ax[1])
ax[1].set_ylabel('Dominant Period (sec)',fontsize=14)
ax[1].set_xlabel('')
sns.despine()

Notice that the buoy went offline from the end of April, 2014 to mid August, 2014.

Historic Range - Grab data from a range of years

import buoypy as bp
buoy = 41108
year = np.NAN
year_range = (2010,2018)

H = bp.historic_data(buoy,year,year_range)
X = H.get_all_stand_meteo()

#plotting
fig,ax = plt.subplots(2,sharex=True)
X.WVHT.plot(ax=ax[0])
ax[0].set_ylabel('Wave Height (m)',fontsize=14)
X.DPD.plot(ax=ax[1])
ax[1].set_ylabel('Dominant Period (sec)',fontsize=14)
ax[1].set_xlabel('')
sns.despine()