id
processing priority
4
site type
0 (generic, awaiting analysis)
review version
11
html import
20 (imported)
first seen date
2023-12-22 01:16:16
expired found date
-
created at
2024-06-23 04:42:05
updated at
2026-01-04 00:40:55
length
22
crc
40397
tld
2211
nm parts
0
nm random digits
0
nm rare letters
0
is subdomain of id
-
previous id
0
replaced with id
0
related id
-
dns primary id
dns alternative id
0
lifecycle status
0 (unclassified, or currently active)
deleted subdomains
0
page imported products
0
page imported random
0
page imported parking
0
count skipped due to recent timeouts on the same server IP
0
count content received but rejected due to 11-799
0
count dns errors
0
count cert errors
0
count timeouts
0
count http 429
0
count http 404
0
count http 403
0
count http 5xx
0
next operation date
-
server bits
—
server ip
-
mp import status
20
mp rejected date
-
mp saved date
-
mp size orig
40148
mp size raw text
4961
mp inner links count
7
mp inner links status
20 (imported)
title
Salient
description
Salient combines novel ocean and land-surface data with machine learning and climate expertise to deliver the world’s most accurate subseasonal-to-seasonal weather forecasts 2 to 52 weeks in advance.
site name
author
updated
2025-12-31 16:27:46
raw text
Salient Predictions Forecasts Industry Analytics News & Insights Company Careers Contact Sign In The new standard in 2- to 52-week weather analytics Salient combines novel ocean and land-surface data with machine learning and climate expertise to deliver the world’s most accurate subseasonal-to-seasonal weather forecasts 2 to 52 weeks in advance. Request a Demo 2X Accuracy improvement over competitive forecasts 4 billion Machine learning predictors 5 million API data points generated weekly Gaining new insight from the global water cycle Developed by scientists from MIT and Woods Hole Oceanographic Institution, Salient’s forecasts and analytics put superior data and state-of-the-art methodologies to work for you. Inertia: the true driver of seasonal weather Conventional forecasts are based on numerical models of atmospheric conditions. However, due to the chaos of the atmosphere, these models provide little skill for subseasonal-to-seasonal weather predictio...
redirect type
0 (-)
block type
0 (no issues)
detected language
1 (English)
category id
Other [en] (231)
index version
2025123101
spam phrases
0
text nonlatin
0
text cyrillic
0
text characters
3968
text words
709
text unique words
372
text lines
107
text sentences
31
text paragraphs
10
text words per sentence
22
text matched phrases
10
text matched dictionaries
3
links self subdomains
0
links other subdomains
8 - assets-global.website-files.com, salientpredictions.freshteam.com, commodityinsights.spglobal.com, americas.energytradingweek.com, annual.ametsoc.org
links other domains
1 - agu.org
links spam adult
0
links spam random
0
links spam expired
0
links ext activities
0
links ext ecommerce
0
links ext finance
0
links ext crypto
0
links ext booking
0
links ext news
3
links ext leaks
0
links ext ugc
4 - linkedin.com, twitter.com
links ext klim
0
links ext generic
0
dol status
0
dol updated
2025-12-31 16:27:46
rss path
rss status
1 (priority 1 already searched, no matches found)
rss found date
-
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0
rss items
0
rss spam phrases
0
rss detected language
0 (awaiting analysis)
inbefore feed id
-
inbefore status
0 (new)
sitemap path
sitemap status
30 (processing completed, results pushed to table crawler_sitemaps.ext_domain_sitemap_lists)
sitemap review version
1
sitemap urls count
12
sitemap urls adult
0
sitemap filtered products
0
sitemap filtered videos
0
sitemap found date
2023-12-22 01:16:16
sitemap process date
2024-08-28 10:05:30
sitemap first import date
-
sitemap last import date
-