Artic sea ice
Tags: #nasa #naas #opendata #analytics #asset #html #png #operations #image #plotly
AVERAGE SEPTEMBER MINIMUM EXTENT
Data source: Satellite observations. Credit: NSIDC/NASA
What is Arctic sea ice extent?
Sea ice extent is a measure of the surface area of the ocean covered by sea ice. Increases in air and ocean temperatures decrease sea ice extent; in turn, the resulting darker ocean surface absorbs more solar radiation and increases Arctic warming.
Date Range: 1979 - 2020.
import pandas as pd
import plotly.graph_objects as go
import naas
# Input
data_input = "https://climate.nasa.gov/system/internal_resources/details/original/2485_Sept_Arctic_extent_1979-2021.xlsx"
# Output
image_output = "Artic_sea_ice_extent.png"
html_output = "Artic_sea_ice_extent.png"
df = pd.read_excel(data_input)
df.tail(10)
def create_linechart(df, label, value):
# Init
fig = go.Figure()
# Create fig
fig.add_trace(
go.Scatter(
x=df[label],
y=df[value],
hoverinfo="text",
hovertext=df[label].astype(str) + "<br>" + df[value].astype(str) + " million square km",
mode="lines+text",
)
)
fig.update_layout(
title=f"<b>Arctic Sea Ice Extent</b><br><span style='font-size: 13px;'>ANNUAL SEPTEMBER MINIMUM EXTENT</span>",
title_font=dict(family="Arial", size=18, color="black"),
plot_bgcolor="#ffffff",
width=1200,
height=800,
paper_bgcolor="white",
xaxis_title="Year",
xaxis_title_font=dict(family="Arial", size=11, color="black"),
yaxis_title='million square km',
yaxis_title_font=dict(family="Arial", size=11, color="black"),
margin_pad=10,
)
fig.show()
return fig
fig = create_linechart(df, "year", "extent")
fig.write_html(html_output)
fig.write_image(image_output)
naas.asset.add(html_output, params={"inline": True})
naas.asset.add(image_output)
#-> Uncomment lines below to remove your assets
# naas.asset.delete(html_output)
# naas.asset.delete(image_output)
Last modified 1mo ago