| name | seawater-sound-speed-calculation |
| description | Calculate sound speed in seawater from practical salinity, temperature, and pressure using the Gibbs Seawater Oceanographic Toolbox. |
| license | MIT license |
| metadata | {"skill-author":"PJLab"} |
Seawater Sound Speed Calculation
Usage
1. MCP Server Definition
import asyncio
import json
from contextlib import AsyncExitStack
from mcp.client.streamable_http import streamablehttp_client
from mcp import ClientSession
class OceanClient:
"""OceanGSW-Tool MCP Client"""
def __init__(self, server_url: str, api_key: str):
self.server_url = server_url
self.api_key = api_key
self.session = None
async def connect(self):
"""Establish connection and initialize session"""
try:
self.transport = streamablehttp_client(
url=self.server_url,
headers={"SCP-HUB-API-KEY": self.api_key}
)
self._stack = AsyncExitStack()
await self._stack.__aenter__()
self.read, self.write, self.get_session_id = await self._stack.enter_async_context(self.transport)
self.session_ctx = ClientSession(self.read, self.write)
self.session = await self._stack.enter_async_context(self.session_ctx)
await self.session.initialize()
return True
except Exception as e:
print(f"✗ connect failure: {e}")
return False
async def disconnect(self):
"""Disconnect from server"""
try:
if hasattr(self, '_stack'):
await self._stack.aclose()
print("✓ already disconnect")
except Exception as e:
print(f"✗ disconnect error: {e}")
def parse_result(self, result):
"""Parse MCP tool call result"""
try:
if hasattr(result, 'content') and result.content:
content = result.content[0]
if hasattr(content, 'text'):
return json.loads(content.text)
return str(result)
except Exception as e:
return {"error": f"parse error: {e}", "raw": str(result)}
2. Sound Speed Calculation Workflow
This workflow calculates sound speed in seawater using thermodynamic equations.
Workflow Steps:
- Calculate Absolute Salinity - Convert practical salinity to absolute salinity
- Calculate Conservative Temperature - Convert in-situ temperature to conservative temperature
- Calculate Sound Speed - Compute speed of sound in seawater
Implementation:
client = OceanClient(
"https://scp.intern-ai.org.cn/api/v1/mcp/34/OceanGSW-Tool",
"<your-api-key>"
)
if not await client.connect():
print("connection failed")
exit()
input_params = {
'SP': [35.0, 5.0],
't': [15.0, 10.0],
'p': [1000.0, 1000.0],
'lon': [120.0, 165.0],
'lat': [30.0, 45.0]
}
result = await client.session.call_tool(
"gsw_example_absolute_salinity",
arguments={
"SP": input_params['SP'],
'p': input_params['p'],
'lon': input_params['lon'],
'lat': input_params['lat']
}
)
result_data = client.parse_result(result)
SA_result = result_data["st"]
print("Absolute Salinity:")
for i, sa in enumerate(SA_result):
()
result = client.session.call_tool(
,
arguments={
: SA_result,
: input_params[],
: input_params[]
}
)
result_data = client.parse_result(result)
CT_result = result_data[]
()
i, ct (CT_result):
()
result = client.session.call_tool(
,
arguments={
: SA_result,
: CT_result,
: input_params[]
}
)
result_data = client.parse_result(result)
sound_speed_result = result_data[][]
()
i, speed (sound_speed_result):
()
()
client.disconnect()
Tool Descriptions
OceanGSW-Tool Server:
-
gsw_example_absolute_salinity: Calculate absolute salinity
- Args:
SP (list): Practical salinity (PSU)
p (list): Pressure (dbar)
lon (list): Longitude (degrees East)
lat (list): Latitude (degrees North)
- Returns: Absolute salinity (g/kg)
-
gsw_example_conservative_temperature: Calculate conservative temperature
- Args:
SA (list): Absolute salinity (g/kg)
t (list): In-situ temperature (°C)
p (list): Pressure (dbar)
- Returns: Conservative temperature (°C)
-
gsw_example_sound_speed: Calculate sound speed
- Args:
SA (list): Absolute salinity (g/kg)
CT (list): Conservative temperature (°C)
p (list): Pressure (dbar)
- Returns: Sound speed (m/s)
Input/Output
Input:
SP: Practical salinity (0-42 PSU typical range)
t: In-situ temperature (-2 to 40°C)
p: Sea pressure (0-11000 dbar)
lon: Longitude (-180 to 180°E)
lat: Latitude (-90 to 90°N)
Output:
- Sound speed in m/s (typically 1400-1600 m/s in ocean)
Use Cases
- Underwater acoustics and sonar systems
- Ocean circulation modeling
- Submarine navigation
- Marine seismic surveys
- Oceanographic research
Performance Notes
- Standards: TEOS-10 (Thermodynamic Equation of Seawater)
- Accuracy: ±0.02 m/s
- Execution time: <1 second for batch calculations